def lower(self, lb):
if (lb is not None) and \
(not is_numeric_data(lb)):
raise ValueError(
"Variable lower bounds must be numbers or "
"expressions restricted to numeric data.")
self._lb = lb
def upper(self, ub):
if (ub is not None) and \
(not is_numeric_data(ub)):
raise ValueError(
"Variable upper bounds must be numbers or "
"expressions restricted to numeric data.")
self._ub = ub
def lb(self, lb):
if (lb is not None) and \
(not is_numeric_data(lb)):
raise ValueError(
"Variable lower bounds must be numbers or "
"expressions restricted to numeric data.")
self._lb = lb
def ub(self, ub):
if (ub is not None) and \
(not is_numeric_data(ub)):
raise ValueError(
"Variable upper bounds must be numbers or "
"expressions restricted to numeric data.")
self._ub = ub
def test_unknownNumericType(self):
ref = MyBogusNumericType(42)
self.assertTrue(is_numeric_data(ref))
from pyomo.core.base.numvalue import native_numeric_types, native_types
self.assertIn(MyBogusNumericType, native_numeric_types)
self.assertIn(MyBogusNumericType, native_types)
native_numeric_types.remove(MyBogusNumericType)
native_types.remove(MyBogusNumericType)
def test_unknownNumericType(self):
ref = MyBogusNumericType(42)
self.assertTrue(is_numeric_data(ref))
from pyomo.core.base.numvalue import native_numeric_types, native_types
self.assertIn(MyBogusNumericType, native_numeric_types)
self.assertIn(MyBogusNumericType, native_types)
native_numeric_types.remove(MyBogusNumericType)
native_types.remove(MyBogusNumericType)
def lb(self, lb):
if self.equality:
raise ValueError("The lb property can not be set "
"when the equality property is True.")
if (lb is not None) and \
(not is_numeric_data(lb)):
raise TypeError("Constraint lower bounds must be "
"expressions restricted to numeric data.")
self._lb = lb
def ub(self, ub):
if self.equality:
raise ValueError("The ub property can not be set "
"when the equality property is True.")
if (ub is not None) and \
(not is_numeric_data(ub)):
raise TypeError("Constraint upper bounds must be "
"expressions restricted to numeric data.")
self._ub = ub
def ub(self, ub):
if self.equality:
raise ValueError(
"The ub property can not be set "
"when the equality property is True.")
if (ub is not None) and \
(not is_numeric_data(ub)):
raise TypeError(
"Constraint upper bounds must be "
"expressions restricted to numeric data.")
self._ub = ub
def lb(self, lb):
if self.equality:
raise ValueError(
"The lb property can not be set "
"when the equality property is True.")
if (lb is not None) and \
(not is_numeric_data(lb)):
raise TypeError(
"Constraint lower bounds must be "
"expressions restricted to numeric data.")
self._lb = lb
def __init__(self, x, r1, r2, alpha):
super(dual_power, self).__init__()
self._x = tuple(x)
self._r1 = r1
self._r2 = r2
self._alpha = alpha
assert all(isinstance(xi, IVariable) for xi in self._x)
assert isinstance(self._r1, IVariable)
assert isinstance(self._r2, IVariable)
if not is_numeric_data(self._alpha):
raise TypeError("The type of the alpha parameter of a conic "
"constraint is restricted numeric data or "
"objects that store numeric data.")
def rhs(self, rhs):
if rhs is None:
# None has a different meaning depending on the
# context (lb or ub), so there is no way to
# interpret this
raise ValueError("Constraint right-hand side can not "
"be assigned a value of None.")
elif not is_numeric_data(rhs):
raise TypeError("Constraint right-hand side must be numbers "
"or expressions restricted to data.")
self._lb = rhs
self._ub = rhs
self._equality = True
def __call__(self, exception=True):
if self._fn is None:
return None
try:
val = self._fn()
except Exception as e:
if exception:
raise e
else:
return None
# this exception should never be masked
if not is_numeric_data(val):
raise TypeError("Functional value is not numeric data")
return val
def rhs(self, rhs):
if rhs is None:
# None has a different meaning depending on the
# context (lb or ub), so there is no way to
# interpret this
raise ValueError(
"Constraint right-hand side can not "
"be assigned a value of None.")
elif not is_numeric_data(rhs):
raise TypeError(
"Constraint right-hand side must be numbers "
"or expressions restricted to data.")
self._lb = rhs
self._ub = rhs
self._equality = True
def __init__(self, r1, r2, x, alpha):
super(dual_power, self).__init__()
self._r1 = r1
self._r2 = r2
self._x = tuple(x)
self._alpha = alpha
assert isinstance(self._r1, IVariable)
assert isinstance(self._r2, IVariable)
assert all(isinstance(xi, IVariable)
for xi in self._x)
if not is_numeric_data(self._alpha):
raise TypeError(
"The type of the alpha parameter of a conic "
"constraint is restricted numeric data or "
"objects that store numeric data.")
def _build_linking_constraints(v, v_aux):
assert len(v) == len(v_aux)
c_aux = []
for vi, vi_aux in zip(v, v_aux):
assert vi_aux.ctype is IVariable
if is_numeric_data(vi):
c_aux.append(
linear_constraint(variables=(vi_aux, ),
coefficients=(1, ),
rhs=vi))
elif isinstance(vi, IVariable):
c_aux.append(
linear_constraint(variables=(vi_aux, vi),
coefficients=(1, -1),
rhs=0))
else:
c_aux.append(constraint(body=vi_aux - vi, rhs=0))
return constraint_tuple(c_aux)
def __init__(self, variables, weights=None, level=1):
self._parent = None
self._storage_key = None
self._active = True
self._variables = tuple(variables)
self._weights = None
self._level = level
if weights is None:
self._weights = tuple(range(1,len(self._variables)+1))
else:
self._weights = tuple(weights)
for w in self._weights:
if not is_numeric_data(w):
raise ValueError(
"Weights for Special Ordered Sets must be "
"expressions restricted to numeric data")
assert len(self._variables) == len(self._weights)
assert self._level >= 1
def __init__(self, variables, weights=None, level=1):
self._parent = None
self._storage_key = None
self._active = True
self._variables = tuple(variables)
self._weights = None
self._level = level
if weights is None:
self._weights = tuple(range(1, len(self._variables) + 1))
else:
self._weights = tuple(weights)
for w in self._weights:
if not is_numeric_data(w):
raise ValueError(
"Weights for Special Ordered Sets must be "
"expressions restricted to numeric data")
assert len(self._variables) == len(self._weights)
assert self._level >= 1
def _build_linking_constraints(v, v_aux):
assert len(v) == len(v_aux)
c_aux = []
for vi, vi_aux in zip(v, v_aux):
assert vi_aux.ctype is IVariable
if vi is None:
continue
elif is_numeric_data(vi):
c_aux.append(
linear_constraint(variables=(vi_aux,),
coefficients=(1,),
rhs=vi))
elif isinstance(vi, IVariable):
c_aux.append(
linear_constraint(variables=(vi_aux, vi),
coefficients=(1, -1),
rhs=0))
else:
c_aux.append(
constraint(body=vi_aux - vi,
rhs=0))
return constraint_tuple(c_aux)
def test_NumericValue(self):
self.assertEqual(is_numeric_data(NumericConstant(1.0)), True)
def test_int(self):
self.assertEqual(is_numeric_data(0), True)
def test_float(self):
self.assertEqual(is_numeric_data(0.0), True)
def test_string(self):
self.assertEqual(is_numeric_data("a"), False)
self.assertEqual(is_numeric_data(b"a"), False)
def expr(self, expr):
self._equality = False
if expr is None:
self.body = None
self.lb = None
self.ub = None
return
_expr_type = expr.__class__
if _expr_type is tuple:
#
# Form equality expression
#
if len(expr) == 2:
arg0 = expr[0]
arg1 = expr[1]
# assigning to the rhs property
# will set the equality flag to True
if not is_potentially_variable(arg1):
self.rhs = arg1
self.body = arg0
elif not is_potentially_variable(arg0):
self.rhs = arg0
self.body = arg1
else:
self.rhs = ZeroConstant
self.body = arg0
self.body -= arg1
#
# Form inequality expression
#
elif len(expr) == 3:
arg0 = expr[0]
if arg0 is not None:
if not is_numeric_data(arg0):
raise ValueError(
"Constraint '%s' found a 3-tuple (lower,"
" expression, upper) but the lower "
"value was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
arg1 = expr[1]
if arg1 is not None:
arg1 = as_numeric(arg1)
arg2 = expr[2]
if arg2 is not None:
if not is_numeric_data(arg2):
raise ValueError(
"Constraint '%s' found a 3-tuple (lower,"
" expression, upper) but the upper "
"value was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
self.lb = arg0
self.body = arg1
self.ub = arg2
else:
raise ValueError(
"Constraint '%s' assigned a tuple "
"of length %d. Expecting a tuple of "
"length 2 or 3:\n"
"Equality: (body, rhs)\n"
"Inequality: (lb, body, ub)"
% (self.name, len(expr)))
relational_expr = False
else:
try:
relational_expr = expr.is_relational()
if not relational_expr:
raise ValueError(
"Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum_product(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
except AttributeError:
msg = ("Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum_product(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
if type(expr) is bool:
msg += ("\nNote: constant Boolean expressions "
"are not valid constraint expressions. "
"Some apparently non-constant compound "
"inequalities (e.g. 'expr >= 0 <= 1') "
"can return boolean values; the proper "
"form for compound inequalities is "
"always 'lb <= expr <= ub'.")
raise ValueError(msg)
#
# Special check for chainedInequality errors like "if var <
# 1:" within rules. Catching them here allows us to provide
# the user with better (and more immediate) debugging
# information. We don't want to check earlier because we
# want to provide a specific debugging message if the
# construction rule returned True/False; for example, if the
# user did ( var < 1 > 0 ) (which also results in a non-None
# chainedInequality value)
#
if logical_expr._using_chained_inequality and \
(logical_expr._chainedInequality.prev is not None):
raise TypeError(logical_expr._chainedInequality.error_message())
#
# Process relational expressions
# (i.e. explicit '==', '<', and '<=')
#
if relational_expr:
if _expr_type is logical_expr.EqualityExpression:
# assigning to the rhs property
# will set the equality flag to True
if not is_potentially_variable(expr.arg(1)):
self.rhs = expr.arg(1)
self.body = expr.arg(0)
elif not is_potentially_variable(expr.arg(0)):
self.rhs = expr.arg(0)
self.body = expr.arg(1)
else:
self.rhs = ZeroConstant
self.body = expr.arg(0)
self.body -= expr.arg(1)
elif _expr_type is logical_expr.InequalityExpression:
if expr._strict:
raise ValueError(
"Constraint '%s' encountered a strict "
"inequality expression ('>' or '<'). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='."
% (self.name))
if not is_potentially_variable(expr.arg(1)):
self.lb = None
self.body = expr.arg(0)
self.ub = expr.arg(1)
elif not is_potentially_variable(expr.arg(0)):
self.lb = expr.arg(0)
self.body = expr.arg(1)
self.ub = None
else:
self.lb = None
self.body = expr.arg(0)
self.body -= expr.arg(1)
self.ub = ZeroConstant
else: # RangedExpression
if any(expr._strict):
raise ValueError(
"Constraint '%s' encountered a strict "
"inequality expression ('>' or '<'). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='."
% (self.name))
if not is_numeric_data(expr.arg(0)):
raise ValueError(
"Constraint '%s' found a double-sided "
"inequality expression (lower <= "
"expression <= upper) but the lower "
"bound was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
if not is_numeric_data(expr.arg(2)):
raise ValueError(
"Constraint '%s' found a double-sided "\
"inequality expression (lower <= "
"expression <= upper) but the upper "
"bound was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
self.lb = expr.arg(0)
self.body = expr.arg(1)
self.ub = expr.arg(2)
#
# Error check, to ensure that we don't have an equality
# constraint with 'infinite' RHS
#
assert not (self.equality and (self.lb is None))
assert (not self.equality) or (self.lb is self.ub)
def test_int(self):
self.assertEqual(is_numeric_data(0), True)
def test_error(self):
class A(object): pass
val = A()
self.assertEqual(False, is_numeric_data(val))
def expr(self, expr):
if (expr is not None) and \
(not is_numeric_data(expr)):
raise ValueError("Expression is not restricted to "
"numeric data.")
self._expr = expr
def expr(self, expr):
self._equality = False
if expr is None:
self.body = None
self.lb = None
self.ub = None
return
_expr_type = expr.__class__
if _expr_type is tuple:
#
# Form equality expression
#
if len(expr) == 2:
arg0 = expr[0]
arg1 = expr[1]
# assigning to the rhs property
# will set the equality flag to True
if not is_potentially_variable(arg1):
self.rhs = arg1
self.body = arg0
elif not is_potentially_variable(arg0):
self.rhs = arg0
self.body = arg1
else:
self.rhs = ZeroConstant
self.body = arg0
self.body -= arg1
#
# Form inequality expression
#
elif len(expr) == 3:
arg0 = expr[0]
if arg0 is not None:
if not is_numeric_data(arg0):
raise ValueError(
"Constraint '%s' found a 3-tuple (lower,"
" expression, upper) but the lower "
"value was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
arg1 = expr[1]
if arg1 is not None:
arg1 = as_numeric(arg1)
arg2 = expr[2]
if arg2 is not None:
if not is_numeric_data(arg2):
raise ValueError(
"Constraint '%s' found a 3-tuple (lower,"
" expression, upper) but the upper "
"value was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
self.lb = arg0
self.body = arg1
self.ub = arg2
else:
raise ValueError(
"Constraint '%s' assigned a tuple "
"of length %d. Expecting a tuple of "
"length 2 or 3:\n"
"Equality: (body, rhs)\n"
"Inequality: (lb, body, ub)"
% (self.name, len(expr)))
relational_expr = False
else:
try:
relational_expr = expr.is_relational()
if not relational_expr:
raise ValueError(
"Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum_product(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
except AttributeError:
msg = ("Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum_product(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
if type(expr) is bool:
msg += ("\nNote: constant Boolean expressions "
"are not valid constraint expressions. "
"Some apparently non-constant compound "
"inequalities (e.g. 'expr >= 0 <= 1') "
"can return boolean values; the proper "
"form for compound inequalities is "
"always 'lb <= expr <= ub'.")
raise ValueError(msg)
#
# Special check for chainedInequality errors like "if var <
# 1:" within rules. Catching them here allows us to provide
# the user with better (and more immediate) debugging
# information. We don't want to check earlier because we
# want to provide a specific debugging message if the
# construction rule returned True/False; for example, if the
# user did ( var < 1 > 0 ) (which also results in a non-None
# chainedInequality value)
#
if logical_expr._using_chained_inequality and \
(logical_expr._chainedInequality.prev is not None):
raise TypeError(logical_expr._chainedInequality.error_message())
#
# Process relational expressions
# (i.e. explicit '==', '<', and '<=')
#
if relational_expr:
if _expr_type is logical_expr.EqualityExpression:
# assigning to the rhs property
# will set the equality flag to True
if not is_potentially_variable(expr.arg(1)):
self.rhs = expr.arg(1)
self.body = expr.arg(0)
elif not is_potentially_variable(expr.arg(0)):
self.rhs = expr.arg(0)
self.body = expr.arg(1)
else:
self.rhs = ZeroConstant
self.body = expr.arg(0)
self.body -= expr.arg(1)
elif _expr_type is logical_expr.InequalityExpression:
if expr._strict:
raise ValueError(
"Constraint '%s' encountered a strict "
"inequality expression ('>' or '<'). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='."
% (self.name))
if not is_potentially_variable(expr.arg(1)):
self.lb = None
self.body = expr.arg(0)
self.ub = expr.arg(1)
elif not is_potentially_variable(expr.arg(0)):
self.lb = expr.arg(0)
self.body = expr.arg(1)
self.ub = None
else:
self.lb = None
self.body = expr.arg(0)
self.body -= expr.arg(1)
self.ub = ZeroConstant
else: # RangedExpression
if any(expr._strict):
raise ValueError(
"Constraint '%s' encountered a strict "
"inequality expression ('>' or '<'). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='."
% (self.name))
if not is_numeric_data(expr.arg(0)):
raise ValueError(
"Constraint '%s' found a double-sided "
"inequality expression (lower <= "
"expression <= upper) but the lower "
"bound was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
if not is_numeric_data(expr.arg(2)):
raise ValueError(
"Constraint '%s' found a double-sided "\
"inequality expression (lower <= "
"expression <= upper) but the upper "
"bound was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
self.lb = expr.arg(0)
self.body = expr.arg(1)
self.ub = expr.arg(2)
#
# Error check, to ensure that we don't have an equality
# constraint with 'infinite' RHS
#
assert not (self.equality and (self.lb is None))
assert (not self.equality) or (self.lb is self.ub)
def expr(self, expr):
if (expr is not None) and \
(not is_numeric_data(expr)):
raise ValueError("Expression is not restricted to "
"numeric data.")
self._expr = expr
def expr(self, expr):
self._equality = False
if expr is None:
self.body = None
self.lb = None
self.ub = None
return
_expr_type = expr.__class__
if _expr_type is tuple:
#
# Form equality expression
#
if len(expr) == 2:
arg0 = expr[0]
arg1 = expr[1]
# assigning to the rhs property
# will set the equality flag to True
if not is_potentially_variable(arg1):
self.rhs = arg1
self.body = arg0
elif not is_potentially_variable(arg0):
self.rhs = arg0
self.body = arg1
else:
self.rhs = ZeroConstant
self.body = arg0
self.body -= arg1
#
# Form inequality expression
#
elif len(expr) == 3:
arg0 = expr[0]
if arg0 is not None:
if not is_numeric_data(arg0):
raise ValueError(
"Constraint '%s' found a 3-tuple (lower,"
" expression, upper) but the lower "
"value was not numeric data or an "
"expression restricted to storage of "
"numeric data." % (self.name))
arg1 = expr[1]
if arg1 is not None:
arg1 = as_numeric(arg1)
arg2 = expr[2]
if arg2 is not None:
if not is_numeric_data(arg2):
raise ValueError(
"Constraint '%s' found a 3-tuple (lower,"
" expression, upper) but the upper "
"value was not numeric data or an "
"expression restricted to storage of "
"numeric data." % (self.name))
elif arg1 is not None and is_numeric_data(arg1):
# Special case (reflect behavior of AML): if the
# upper bound is None and the "body" is only data,
# then shift the body to the UB and the LB to the
# body
arg0, arg1, arg2 = arg2, arg0, arg1
self.lb = arg0
self.body = arg1
self.ub = arg2
else:
raise ValueError("Constraint '%s' assigned a tuple "
"of length %d. Expecting a tuple of "
"length 2 or 3:\n"
"Equality: (body, rhs)\n"
"Inequality: (lb, body, ub)" %
(self.name, len(expr)))
relational_expr = False
else:
try:
relational_expr = expr.is_relational()
if not relational_expr:
raise ValueError(
"Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum_product(model.costs) == model.income"
"\n (0, model.price[item], 50)" %
(self.name, str(expr)))
except AttributeError:
msg = ("Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum_product(model.costs) == model.income"
"\n (0, model.price[item], 50)" %
(self.name, str(expr)))
if type(expr) is bool:
msg += ("\nNote: constant Boolean expressions "
"are not valid constraint expressions. "
"Some apparently non-constant compound "
"inequalities (e.g. 'expr >= 0 <= 1') "
"can return boolean values; the proper "
"form for compound inequalities is "
"always 'lb <= expr <= ub'.")
raise ValueError(msg)
#
# Process relational expressions
# (i.e. explicit '==', '<', and '<=')
#
if relational_expr:
if _expr_type is logical_expr.EqualityExpression:
# assigning to the rhs property
# will set the equality flag to True
if not is_potentially_variable(expr.arg(1)):
self.rhs = expr.arg(1)
self.body = expr.arg(0)
elif not is_potentially_variable(expr.arg(0)):
self.rhs = expr.arg(0)
self.body = expr.arg(1)
else:
self.rhs = ZeroConstant
self.body = expr.arg(0)
self.body -= expr.arg(1)
elif _expr_type is logical_expr.InequalityExpression:
if expr._strict:
raise ValueError("Constraint '%s' encountered a strict "
"inequality expression ('>' or '<'). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='." %
(self.name))
if not is_potentially_variable(expr.arg(1)):
self.lb = None
self.body = expr.arg(0)
self.ub = expr.arg(1)
elif not is_potentially_variable(expr.arg(0)):
self.lb = expr.arg(0)
self.body = expr.arg(1)
self.ub = None
else:
self.lb = None
self.body = expr.arg(0)
self.body -= expr.arg(1)
self.ub = ZeroConstant
else: # RangedExpression
if any(expr._strict):
raise ValueError("Constraint '%s' encountered a strict "
"inequality expression ('>' or '<'). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='." %
(self.name))
if not is_numeric_data(expr.arg(0)):
raise ValueError("Constraint '%s' found a double-sided "
"inequality expression (lower <= "
"expression <= upper) but the lower "
"bound was not numeric data or an "
"expression restricted to storage of "
"numeric data." % (self.name))
if not is_numeric_data(expr.arg(2)):
raise ValueError(
"Constraint '%s' found a double-sided "\
"inequality expression (lower <= "
"expression <= upper) but the upper "
"bound was not numeric data or an "
"expression restricted to storage of "
"numeric data."
% (self.name))
self.lb = expr.arg(0)
self.body = expr.arg(1)
self.ub = expr.arg(2)
#
# Error check, to ensure that we don't have an equality
# constraint with 'infinite' RHS
#
assert not (self.equality and (self.lb is None))
assert (not self.equality) or (self.lb is self.ub)
def test_error(self):
class A(object):
pass
val = A()
self.assertEqual(False, is_numeric_data(val))
def test_NumericValue(self):
self.assertEqual(is_numeric_data(NumericConstant(1.0)), True)
def test_string(self):
self.assertEqual(is_numeric_data("a"), False)
self.assertEqual(is_numeric_data(b"a"), False)
def test_float(self):
self.assertEqual(is_numeric_data(0.0), True)