本文整理汇总了Python中pyomo.environ.value函数的典型用法代码示例。如果您正苦于以下问题：Python value函数的具体用法？Python value怎么用？Python value使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了value函数的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_acos
def test_acos(self):
m = pe.Block(concrete=True)
m.x = pe.Var()
m.c = pe.Constraint(expr=pe.inequality(body=pe.acos(m.x), lower=1, upper=2))
fbbt(m)
self.assertAlmostEqual(pe.value(m.x.lb), math.cos(2))
self.assertAlmostEqual(pe.value(m.x.ub), math.cos(1))示例2: test_GDP_nonlinear_objective
def test_GDP_nonlinear_objective(self):
m = ConcreteModel()
m.x = Var(bounds=(-1, 10))
m.y = Var(bounds=(2, 3))
m.d = Disjunction(expr=[
[m.x + m.y >= 5], [m.x - m.y <= 3]
])
m.o = Objective(expr=m.x ** 2)
SolverFactory('gdpopt').solve(
m, strategy='LOA',
mip_solver=mip_solver,
nlp_solver=nlp_solver
)
self.assertAlmostEqual(value(m.o), 0)
m = ConcreteModel()
m.x = Var(bounds=(-1, 10))
m.y = Var(bounds=(2, 3))
m.d = Disjunction(expr=[
[m.x + m.y >= 5], [m.x - m.y <= 3]
])
m.o = Objective(expr=-m.x ** 2, sense=maximize)
SolverFactory('gdpopt').solve(
m, strategy='LOA',
mip_solver=mip_solver,
nlp_solver=nlp_solver
)
self.assertAlmostEqual(value(m.o), 0)示例3: save_cost_components
def save_cost_components(m, outdir):
"""
Save values for all individual components of total system cost on NPV basis.
"""
cost_dict = dict()
for annual_cost in m.Cost_Components_Per_Period:
cost = getattr(m, annual_cost)
# note: storing value() instead of the expression may save
# some memory while this function runs
cost_dict[annual_cost] = value(sum(
cost[p] * m.bring_annual_costs_to_base_year[p]
for p in m.PERIODS
))
for tp_cost in m.Cost_Components_Per_TP:
cost = getattr(m, tp_cost)
cost_dict[tp_cost] = value(sum(
cost[t] * m.tp_weight_in_year[t]
* m.bring_annual_costs_to_base_year[m.tp_period[t]]
for t in m.TIMEPOINTS
))
write_table(
m,
cost_dict.keys(),
output_file=os.path.join(outdir, "cost_components.tab"),
headings=('component', 'npv_cost'),
values=lambda m, c: (c, cost_dict[c]),
digits=16
)示例4: test_atan
def test_atan(self):
m = pe.Block(concrete=True)
m.x = pe.Var()
m.c = pe.Constraint(expr=pe.inequality(body=pe.atan(m.x), lower=-0.5, upper=0.5))
fbbt(m)
self.assertAlmostEqual(pe.value(m.x.lb), math.tan(-0.5))
self.assertAlmostEqual(pe.value(m.x.ub), math.tan(0.5))示例5: test_ignore_nonlinear
def test_ignore_nonlinear(self):
m = ConcreteModel()
m.v1 = Var()
m.c1 = Constraint(expr=m.v1 * m.v1 >= 2)
self.assertEqual(value(m.c1.lower), 2)
self.assertFalse(m.c1.has_ub())
TransformationFactory('core.tighten_constraints_from_vars').apply_to(m)
self.assertEqual(value(m.c1.lower), 2)
self.assertFalse(m.c1.has_ub())示例6: test_pow
def test_pow(self):
m = pe.ConcreteModel()
m.x = pe.Var(initialize=2.0)
m.y = pe.Var(initialize=3.0)
e = m.x ** m.y
derivs = reverse_ad(e)
symbolic = reverse_sd(e)
self.assertAlmostEqual(derivs[m.x], pe.value(symbolic[m.x]), tol+3)
self.assertAlmostEqual(derivs[m.y], pe.value(symbolic[m.y]), tol+3)
self.assertAlmostEqual(derivs[m.x], approx_deriv(e, m.x), tol)
self.assertAlmostEqual(derivs[m.y], approx_deriv(e, m.y), tol)示例7: approx_deriv
def approx_deriv(expr, wrt, delta=0.001):
numerator = 0
wrt.value += 2*delta
numerator -= pe.value(expr)
wrt.value -= delta
numerator += 8*pe.value(expr)
wrt.value -= 2*delta
numerator -= 8*pe.value(expr)
wrt.value -= delta
numerator += pe.value(expr)
wrt.value += 2*delta
return numerator / (12*delta)示例8: test_less_than_constraint
def test_less_than_constraint(self):
m = ConcreteModel()
m.v1 = Var(initialize=7, bounds=(7, 10))
m.v2 = Var(initialize=2, bounds=(2, 5))
m.v3 = Var(initialize=6, bounds=(6, 9))
m.v4 = Var(initialize=1, bounds=(1, 1))
m.c1 = Constraint(expr=m.v1 <= m.v2 + m.v3 + m.v4)
self.assertEqual(value(m.c1.upper), 0)
self.assertFalse(m.c1.has_lb())
TransformationFactory('core.tighten_constraints_from_vars').apply_to(m)
self.assertEqual(value(m.c1.upper), 0)
self.assertEqual(value(m.c1.lower), -8)示例9: test_add
def test_add(self):
x_bounds = [(-2.5, 2.8), (-2.5, -0.5), (0.5, 2.8), (-2.5, 0), (0, 2.8), (-2.5, -1), (1, 2.8), (-1, -0.5), (0.5, 1)]
c_bounds = [(-2.5, 2.8), (-2.5, -0.5), (0.5, 2.8), (-2.5, 0), (0, 2.8), (-2.5, -1), (1, 2.8), (-1, -0.5), (0.5, 1)]
for xl, xu in x_bounds:
for cl, cu in c_bounds:
m = pe.Block(concrete=True)
m.x = pe.Var(bounds=(xl, xu))
m.y = pe.Var()
m.p = pe.Param(mutable=True)
m.p.value = 1
m.c = pe.Constraint(expr=pe.inequality(body=m.x+m.y+(m.p+1), lower=cl, upper=cu))
new_bounds = fbbt(m)
self.assertEqual(new_bounds[m.x], (pe.value(m.x.lb), pe.value(m.x.ub)))
self.assertEqual(new_bounds[m.y], (pe.value(m.y.lb), pe.value(m.y.ub)))
x = np.linspace(pe.value(m.x.lb), pe.value(m.x.ub), 100)
z = np.linspace(pe.value(m.c.lower), pe.value(m.c.upper), 100)
if m.y.lb is None:
yl = -np.inf
else:
yl = m.y.lb
if m.y.ub is None:
yu = np.inf
else:
yu = m.y.ub
for _x in x:
_y = z - _x - m.p.value - 1
self.assertTrue(np.all(yl <= _y))
self.assertTrue(np.all(yu >= _y))示例10: test_cos
def test_cos(self):
m = pe.Block(concrete=True)
m.x = pe.Var(bounds=(0, math.pi))
m.c = pe.Constraint(expr=pe.inequality(body=pe.cos(m.x), lower=-0.5, upper=0.5))
fbbt(m)
self.assertAlmostEqual(pe.value(m.x.lb), math.acos(0.5))
self.assertAlmostEqual(pe.value(m.x.ub), math.acos(-0.5))
m = pe.Block(concrete=True)
m.x = pe.Var()
m.c = pe.Constraint(expr=pe.inequality(body=pe.cos(m.x), lower=-0.5, upper=0.5))
fbbt(m)
self.assertEqual(m.x.lb, None)
self.assertEqual(m.x.ub, None)示例11: test_unbounded_var
def test_unbounded_var(self):
"""test with unbounded variables"""
m = ConcreteModel()
m.v1 = Var(initialize=7)
m.v2 = Var(initialize=2, bounds=(2, 5))
m.v3 = Var(initialize=6, bounds=(6, 9))
m.v4 = Var(initialize=1, bounds=(1, 1))
m.c1 = Constraint(expr=m.v1 <= 2 * m.v2 + m.v3 + m.v4)
self.assertEqual(value(m.c1.upper), 0)
self.assertFalse(m.c1.has_lb())
TransformationFactory('core.tighten_constraints_from_vars').apply_to(m)
self.assertEqual(value(m.c1.upper), 0)
self.assertFalse(m.c1.has_lb())示例12: test_unbounded_one_direction
def test_unbounded_one_direction(self):
"""Unbounded in one direction"""
m = ConcreteModel()
m.v1 = Var(initialize=7, bounds=(-float('inf'), 10))
m.v2 = Var(initialize=2, bounds=(2, 5))
m.v3 = Var(initialize=6, bounds=(6, 9))
m.v4 = Var(initialize=1, bounds=(1, 1))
m.c1 = Constraint(expr=m.v1 <= 2 * m.v2 + m.v3 + m.v4)
self.assertEqual(value(m.c1.upper), 0)
self.assertFalse(m.c1.has_lb())
TransformationFactory('core.tighten_constraints_from_vars').apply_to(m)
self.assertEqual(value(m.c1.upper), -1)
self.assertFalse(m.c1.has_lb())示例13: test_nested
def test_nested(self):
m = pe.ConcreteModel()
m.x = pe.Var(initialize=2)
m.y = pe.Var(initialize=3)
m.p = pe.Param(initialize=0.5, mutable=True)
e = pe.exp(m.x**m.p + 3.2*m.y - 12)
derivs = reverse_ad(e)
symbolic = reverse_sd(e)
self.assertAlmostEqual(derivs[m.x], pe.value(symbolic[m.x]), tol+3)
self.assertAlmostEqual(derivs[m.y], pe.value(symbolic[m.y]), tol+3)
self.assertAlmostEqual(derivs[m.p], pe.value(symbolic[m.p]), tol+3)
self.assertAlmostEqual(derivs[m.x], approx_deriv(e, m.x), tol)
self.assertAlmostEqual(derivs[m.y], approx_deriv(e, m.y), tol)
self.assertAlmostEqual(derivs[m.p], approx_deriv(e, m.p), tol)示例14: test_constraint_bound_tightening
def test_constraint_bound_tightening(self):
# Check for no coefficients
m = ConcreteModel()
m.v1 = Var(initialize=7, bounds=(7, 10))
m.v2 = Var(initialize=2, bounds=(2, 5))
m.v3 = Var(initialize=6, bounds=(6, 9))
m.v4 = Var(initialize=1, bounds=(1, 1))
m.c1 = Constraint(expr=m.v1 >= m.v2 + m.v3 + m.v4 + 1)
self.assertEqual(value(m.c1.upper), 0)
self.assertFalse(m.c1.has_lb())
TransformationFactory('core.tighten_constraints_from_vars').apply_to(m)
self.assertEqual(value(m.c1.upper), 0)
self.assertEqual(value(m.c1.lower), 0)示例15: test_constraint_with_coef
def test_constraint_with_coef(self):
"""Test with coefficient on constraint."""
m = ConcreteModel()
m.v1 = Var(initialize=7, bounds=(7, 10))
m.v2 = Var(initialize=2, bounds=(2, 5))
m.v3 = Var(initialize=6, bounds=(6, 9))
m.v4 = Var(initialize=1, bounds=(1, 1))
m.c1 = Constraint(expr=m.v1 <= 2 * m.v2 + m.v3 + m.v4)
self.assertEqual(value(m.c1.upper), 0)
self.assertFalse(m.c1.has_lb())
TransformationFactory('core.tighten_constraints_from_vars').apply_to(m)
self.assertEqual(value(m.c1.upper), -1)
self.assertEqual(value(m.c1.lower), -13)