def _generate_model(self):
self.model = pmo.block()
model = self.model
model._name = self.description
model.s = [1,2]
model.x = pmo.variable()
model.y = pmo.variable()
model.z = pmo.variable(lb=0)
model.obj = pmo.objective_dict()
for i in model.s:
model.obj[i] = pmo.objective(
inactive_index_LP_obj_rule(model,i))
model.OBJ = pmo.objective(model.x+model.y)
model.obj[1].deactivate()
model.OBJ.deactivate()
model.c1 = pmo.constraint_dict()
model.c1[1] = pmo.constraint(model.x<=1)
model.c1[2] = pmo.constraint(model.x>=-1)
model.c1[3] = pmo.constraint(model.y<=1)
model.c1[4] = pmo.constraint(model.y>=-1)
model.c1[1].deactivate()
model.c1[4].deactivate()
model.c2 = pmo.constraint_dict()
for i in model.s:
model.c2[i] = pmo.constraint(
inactive_index_LP_c2_rule(model, i))
model.b = pmo.block()
model.b.c = pmo.constraint(model.z >= 2)
model.B = pmo.block_dict()
model.B[1] = pmo.block()
model.B[1].c = pmo.constraint(model.z >= 3)
model.B[2] = pmo.block()
model.B[2].c = pmo.constraint(model.z >= 1)
model.b.deactivate()
model.B.deactivate()
model.B[2].activate()
def _generate_model(self):
self.model = pmo.block()
model = self.model
model._name = self.description
model.s = [1,2]
model.x = pmo.variable()
model.y = pmo.variable()
model.z = pmo.variable(lb=0)
model.obj = pmo.objective_dict()
for i in model.s:
model.obj[i] = pmo.objective(
inactive_index_LP_obj_rule(model,i))
model.OBJ = pmo.objective(model.x+model.y)
model.obj[1].deactivate()
model.OBJ.deactivate()
model.c1 = pmo.constraint_dict()
model.c1[1] = pmo.constraint(model.x<=1)
model.c1[2] = pmo.constraint(model.x>=-1)
model.c1[3] = pmo.constraint(model.y<=1)
model.c1[4] = pmo.constraint(model.y>=-1)
model.c1[1].deactivate()
model.c1[4].deactivate()
model.c2 = pmo.constraint_dict()
for i in model.s:
model.c2[i] = pmo.constraint(
inactive_index_LP_c2_rule(model, i))
model.b = pmo.block()
model.b.c = pmo.constraint(model.z >= 2)
model.B = pmo.block_dict()
model.B[1] = pmo.block()
model.B[1].c = pmo.constraint(model.z >= 3)
model.B[2] = pmo.block()
model.B[2].c = pmo.constraint(model.z >= 1)
model.b.deactivate()
model.B[1].deactivate()
for i in m.s:
m.ed[i] = \
pmo.expression(-m.vd[i])
# @Expressions_dict
# @Expressions_list
# uses 0-based indexed
m.el = pmo.expression_list()
for j in m.q:
m.el.append(pmo.expression(-m.vl[j]))
# @Expressions_list
# @Objectives_single
m.o = pmo.objective(-m.v)
# @Objectives_single
# @Objectives_dict
m.od = pmo.objective_dict()
for i in m.s:
m.od[i] = \
pmo.objective(-m.vd[i])
# @Objectives_dict
# @Objectives_list
# uses 0-based indexing
m.ol = pmo.objective_list()
for j in m.q:
m.ol.append(pmo.objective(-m.vl[j]))
# @Objectives_list
# @SOS_single
m.sos1 = pmo.sos1(m.vd.values())
m.sos2 = pmo.sos2(m.vl)
# @Expressions_dict
# @Expressions_list
# uses 0-based indexed
m.el = pmo.expression_list()
for j in m.q:
m.el.append(
pmo.expression(-m.vl[j]))
# @Expressions_list
# @Objectives_single
m.o = pmo.objective(-m.v)
# @Objectives_single
# @Objectives_dict
m.od = pmo.objective_dict()
for i in m.s:
m.od[i] = \
pmo.objective(-m.vd[i])
# @Objectives_dict
# @Objectives_list
# uses 0-based indexing
m.ol = pmo.objective_list()
for j in m.q:
m.ol.append(
pmo.objective(-m.vl[j]))
# @Objectives_list
# @SOS_single