assert s.weights == (1,2,3)
assert len(s.variables) == 3
assert v1 in s
assert v2 in s
assert v3 in s
#
# Specifying weights
#
# using known values
s = pmo.sos([v1,v2], weights=[1.2,2.5])
assert s.weights == (1.2,2.5)
# using paramters
p = pmo.parameter_list(
pmo.parameter() for i in range(2))
s = pmo.sos([v1,v2], weights=[p[0]**2, p[1]**2])
assert len(s.weights) == 2
p[0].value = 1
p[1].value = 2
assert tuple(pmo.value(w) for w in s.weights) == (1, 4)
# using data expressions
d = pmo.expression_list(
pmo.data_expression() for i in range(2))
s = pmo.sos([v1,v2], weights=d)
assert len(s.weights) == 2
d[0].expr = p[0] + 1
d[1].expr = p[0] + p[1]
assert tuple(pmo.value(w) for w in s.weights) == (2, 3)
#
# Blocks
#
# define a simple optimization model
b = pmo.block()
b.x = pmo.variable()
b.c = pmo.constraint(expr=b.x >= 1)
b.o = pmo.objective(expr=b.x)
# define an optimization model with indexed containers
b = pmo.block()
b.p = pmo.parameter()
b.plist = pmo.parameter_list(pmo.parameter() for i in range(10))
b.pdict = pmo.parameter_dict(
((i, j), pmo.parameter()) for i in range(10) for j in range(10))
b.x = pmo.variable()
b.xlist = pmo.variable_list(pmo.variable() for i in range(10))
b.xdict = pmo.variable_dict(
((i, j), pmo.variable()) for i in range(10) for j in range(10))
b.c = pmo.constraint(b.x >= 1)
b.clist = pmo.constraint_list(
pmo.constraint(b.xlist[i] >= i) for i in range(10))
b.cdict = pmo.constraint_dict(((i, j), pmo.constraint(b.xdict[i, j] >= i * j))
for i in range(10) for j in range(10))
b.o = pmo.objective(b.x + sum(b.xlist) + sum(b.xdict.values()))
# @Parameters_single
m.p = pmo.parameter(0)
# @Parameters_single
# @Parameters_dict
# pd[1] = 0, pd[2] = 1
m.pd = pmo.parameter_dict()
for k, i in enumerate(m.s):
m.pd[i] = pmo.parameter(k)
# @Parameters_dict
# @Parameters_list
# uses 0-based indexing
# pl[0] = 0, pl[0] = 1, ...
m.pl = pmo.parameter_list()
for j in m.q:
m.pl.append(pmo.parameter(j))
# @Parameters_list
# @Variables_single
m.v = pmo.variable(value=1, lb=1, ub=4)
# @Variables_single
# @Variables_dict
m.vd = pmo.variable_dict()
for i in m.s:
m.vd[i] = pmo.variable(ub=9)
# @Variables_dict
# @Variables_list
# used 0-based indexing
m.vl = pmo.variable_list()
# @Parameters_single
m.p = pmo.parameter(0)
# @Parameters_single
# @Parameters_dict
# pd[1] = 0, pd[2] = 1
m.pd = pmo.parameter_dict()
for k,i in enumerate(m.s):
m.pd[i] = pmo.parameter(k)
# @Parameters_dict
# @Parameters_list
# uses 0-based indexing
# pl[0] = 0, pl[0] = 1, ...
m.pl = pmo.parameter_list()
for j in m.q:
m.pl.append(
pmo.parameter(j))
# @Parameters_list
# @Variables_single
m.v = pmo.variable(value=1,
lb=1,
ub=4)
# @Variables_single
# @Variables_dict
m.vd = pmo.variable_dict()
for i in m.s: