# ___________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright 2017 National Technology and Engineering Solutions of Sandia, LLC
# Under the terms of Contract DE-NA0003525 with National Technology and
# Engineering Solutions of Sandia, LLC, the U.S. Government retains certain
# rights in this software.
# This software is distributed under the 3-clause BSD License.
# ___________________________________________________________________________
__all__ = ['Constraint', '_ConstraintData', 'ConstraintList',
'simple_constraint_rule', 'simple_constraintlist_rule']
import io
import sys
import logging
import math
from weakref import ref as weakref_ref
from pyomo.common.deprecation import RenamedClass
from pyomo.common.errors import DeveloperError
from pyomo.common.formatting import tabular_writer
from pyomo.common.log import is_debug_set
from pyomo.common.timing import ConstructionTimer
from pyomo.core.expr import logical_expr
from pyomo.core.expr.numvalue import (
NumericValue, value, as_numeric, is_fixed, native_numeric_types,
)
from pyomo.core.base.component import (
ActiveComponentData, ModelComponentFactory,
)
from pyomo.core.base.indexed_component import (
ActiveIndexedComponent, UnindexedComponent_set, rule_wrapper,
)
from pyomo.core.base.set import Set
from pyomo.core.base.disable_methods import disable_methods
from pyomo.core.base.initializer import (
Initializer, IndexedCallInitializer, CountedCallInitializer,
)
logger = logging.getLogger('pyomo.core')
_inf = float('inf')
_rule_returned_none_error = """Constraint '%s': rule returned None.
Constraint rules must return either a valid expression, a 2- or 3-member
tuple, or one of Constraint.Skip, Constraint.Feasible, or
Constraint.Infeasible. The most common cause of this error is
forgetting to include the "return" statement at the end of your rule.
"""
def simple_constraint_rule(rule):
"""
This is a decorator that translates None/True/False return
values into Constraint.Skip/Constraint.Feasible/Constraint.Infeasible.
This supports a simpler syntax in constraint rules, though these
can be more difficult to debug when errors occur.
Example use:
@simple_constraint_rule
def C_rule(model, i, j):
...
model.c = Constraint(rule=simple_constraint_rule(...))
"""
return rule_wrapper(rule, {
None: Constraint.Skip,
True: Constraint.Feasible,
False: Constraint.Infeasible,
})
def simple_constraintlist_rule(rule):
"""
This is a decorator that translates None/True/False return values
into ConstraintList.End/Constraint.Feasible/Constraint.Infeasible.
This supports a simpler syntax in constraint rules, though these can be
more difficult to debug when errors occur.
Example use:
@simple_constraintlist_rule
def C_rule(model, i, j):
...
model.c = ConstraintList(expr=simple_constraintlist_rule(...))
"""
return rule_wrapper(rule, {
None: ConstraintList.End,
True: Constraint.Feasible,
False: Constraint.Infeasible,
})
#
# This class is a pure interface
#
class _ConstraintData(ActiveComponentData):
"""
This class defines the data for a single constraint.
Constructor arguments:
component The Constraint object that owns this data.
Public class attributes:
active A boolean that is true if this constraint is
active in the model.
body The Pyomo expression for this constraint
lower The Pyomo expression for the lower bound
upper The Pyomo expression for the upper bound
equality A boolean that indicates whether this is an
equality constraint
strict_lower A boolean that indicates whether this
constraint uses a strict lower bound
strict_upper A boolean that indicates whether this
constraint uses a strict upper bound
Private class attributes:
_component The objective component.
_active A boolean that indicates whether this data is active
"""
__slots__ = ()
# Set to true when a constraint class stores its expression
# in linear canonical form
_linear_canonical_form = False
def __init__(self, component=None):
#
# These lines represent in-lining of the
# following constructors:
# - _ConstraintData,
# - ActiveComponentData
# - ComponentData
self._component = weakref_ref(component) if (component is not None) \
else None
self._active = True
#
# Interface
#
def __call__(self, exception=True):
"""Compute the value of the body of this constraint."""
return value(self.body, exception=exception)
def has_lb(self):
"""Returns :const:`False` when the lower bound is
:const:`None` or negative infinity"""
return self.lower is not None
def has_ub(self):
"""Returns :const:`False` when the upper bound is
:const:`None` or positive infinity"""
return self.upper is not None
def lslack(self):
"""
Returns the value of f(x)-L for constraints of the form:
L <= f(x) (<= U)
(U >=) f(x) >= L
"""
lb = self.lb
if lb is None:
return _inf
else:
return value(self.body) - lb
def uslack(self):
"""
Returns the value of U-f(x) for constraints of the form:
(L <=) f(x) <= U
U >= f(x) (>= L)
"""
ub = self.ub
if ub is None:
return _inf
else:
return ub - value(self.body)
def slack(self):
"""
Returns the smaller of lslack and uslack values
"""
lb = self.lb
ub = self.ub
body = value(self.body)
if lb is None:
return ub - body
elif ub is None:
return body - lb
return min(ub - body, body - lb)
#
# Abstract Interface
#
@property
def body(self):
"""Access the body of a constraint expression."""
raise NotImplementedError
@property
def lower(self):
"""Access the lower bound of a constraint expression."""
raise NotImplementedError
@property
def upper(self):
"""Access the upper bound of a constraint expression."""
raise NotImplementedError
@property
def lb(self):
"""Access the value of the lower bound of a constraint expression."""
raise NotImplementedError
@property
def ub(self):
"""Access the value of the upper bound of a constraint expression."""
raise NotImplementedError
@property
def equality(self):
"""A boolean indicating whether this is an equality constraint."""
raise NotImplementedError
@property
def strict_lower(self):
"""True if this constraint has a strict lower bound."""
raise NotImplementedError
@property
def strict_upper(self):
"""True if this constraint has a strict upper bound."""
raise NotImplementedError
def set_value(self, expr):
"""Set the expression on this constraint."""
raise NotImplementedError
def get_value(self):
"""Get the expression on this constraint."""
raise NotImplementedError
class _GeneralConstraintData(_ConstraintData):
"""
This class defines the data for a single general constraint.
Constructor arguments:
component The Constraint object that owns this data.
expr The Pyomo expression stored in this constraint.
Public class attributes:
active A boolean that is true if this constraint is
active in the model.
body The Pyomo expression for this constraint
lower The Pyomo expression for the lower bound
upper The Pyomo expression for the upper bound
equality A boolean that indicates whether this is an
equality constraint
strict_lower A boolean that indicates whether this
constraint uses a strict lower bound
strict_upper A boolean that indicates whether this
constraint uses a strict upper bound
Private class attributes:
_component The objective component.
_active A boolean that indicates whether this data is active
"""
__slots__ = ('_body', '_lower', '_upper', '_expr')
def __init__(self, expr=None, component=None):
#
# These lines represent in-lining of the
# following constructors:
# - _ConstraintData,
# - ActiveComponentData
# - ComponentData
self._component = weakref_ref(component) if (component is not None) \
else None
self._active = True
self._body = None
self._lower = None
self._upper = None
self._expr = None
if expr is not None:
self.set_value(expr)
def __getstate__(self):
"""
This method must be defined because this class uses slots.
"""
result = super(_GeneralConstraintData, self).__getstate__()
for i in _GeneralConstraintData.__slots__:
result[i] = getattr(self, i)
return result
# Since this class requires no special processing of the state
# dictionary, it does not need to implement __setstate__()
#
# Abstract Interface
#
@property
def body(self):
"""Access the body of a constraint expression."""
if self._body is not None:
body = self._body
else:
# The incoming RangedInequality had a potentially variable
# bound. The "body" is fine, but the bounds may not be
# (although the responsibility for those checks lies with the
# lower/upper properties)
body = self._expr.arg(1)
return as_numeric(body)
def _lb(self):
if self._body is not None:
bound = self._lower
elif self._expr is None:
return None
else:
bound = self._expr.arg(0)
if not is_fixed(bound):
raise ValueError(
"Constraint '%s' is a Ranged Inequality with a "
"variable %s bound. Cannot normalize the "
"constraint or send it to a solver."
% (self.name, 'lower'))
return bound
def _ub(self):
if self._body is not None:
bound = self._upper
elif self._expr is None:
return None
else:
bound = self._expr.arg(2)
if not is_fixed(bound):
raise ValueError(
"Constraint '%s' is a Ranged Inequality with a "
"variable %s bound. Cannot normalize the "
"constraint or send it to a solver."
% (self.name, 'upper'))
return bound
@property
def lower(self):
"""Access the lower bound of a constraint expression."""
bound = self._lb()
# Historically, constraint.lower was guaranteed to return a type
# derived from Pyomo NumericValue (or None). Replicate that
# functionality, although clients should in almost all cases
# move to using ConstraintData.lb instead of accessing
# lower/body/upper to avoid the unnecessary creation (and
# inevitable destruction) of the NumericConstant wrappers.
if bound is None:
return None
return as_numeric(bound)
@property
def upper(self):
"""Access the upper bound of a constraint expression."""
bound = self._ub()
# Historically, constraint.upper was guaranteed to return a type
# derived from Pyomo NumericValue (or None). Replicate that
# functionality, although clients should in almost all cases
# move to using ConstraintData.ub instead of accessing
# lower/body/upper to avoid the unnecessary creation (and
# inevitable destruction) of the NumericConstant wrappers.
if bound is None:
return None
return as_numeric(bound)
@property
def lb(self):
"""Access the value of the lower bound of a constraint expression."""
bound = value(self._lb())
if bound is not None and not math.isfinite(bound):
if bound == -_inf:
bound = None
else:
raise ValueError(
"Constraint '%s' created with an invalid non-finite "
"lower bound (%s)." % (self.name, bound))
return bound
@property
def ub(self):
"""Access the value of the upper bound of a constraint expression."""
bound = value(self._ub())
if bound is not None and not math.isfinite(bound):
if bound == _inf:
bound = None
else:
raise ValueError(
"Constraint '%s' created with an invalid non-finite "
"upper bound (%s)." % (self.name, bound))
return bound
@property
def equality(self):
"""A boolean indicating whether this is an equality constraint."""
if self._expr.__class__ is logical_expr.EqualityExpression:
return True
elif self._expr.__class__ is logical_expr.RangedExpression:
# TODO: this is a very restrictive form of structural equality.
lb = self._expr.arg(0)
if lb is not None and lb is self._expr.arg(2):
return True
return False
@property
def strict_lower(self):
"""True if this constraint has a strict lower bound."""
return False
@property
def strict_upper(self):
"""True if this constraint has a strict upper bound."""
return False
@property
def expr(self):
"""Return the expression associated with this constraint."""
return self._expr
def get_value(self):
"""Get the expression on this constraint."""
return self._expr
def set_value(self, expr):
"""Set the expression on this constraint."""
# Clear any previously-cached normalized constraint
self._lower = self._upper = self._body = self._expr = None
_expr_type = expr.__class__
if hasattr(expr, 'is_relational'):
if not expr.is_relational():
raise ValueError(
"Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
self._expr = expr
elif _expr_type is tuple: # or expr_type is list:
for arg in expr:
if arg is None or arg.__class__ in native_numeric_types \
or isinstance(arg, NumericValue):
continue
raise ValueError(
"Constraint '%s' does not have a proper value. "
"Constraint expressions expressed as tuples must "
"contain native numeric types or Pyomo NumericValue "
"objects. Tuple %s contained invalid type, %s"
% (self.name, expr, arg.__class__.__name__))
if len(expr) == 2:
#
# Form equality expression
#
if expr[0] is None or expr[1] is None:
raise ValueError(
"Constraint '%s' does not have a proper value. "
"Equality Constraints expressed as 2-tuples "
"cannot contain None [received %s]"
% (self.name, expr,))
self._expr = logical_expr.EqualityExpression(expr)
elif len(expr) == 3:
#
# Form (ranged) inequality expression
#
if expr[0] is None:
self._expr = logical_expr.InequalityExpression(
expr[1:], False)
elif expr[2] is None:
self._expr = logical_expr.InequalityExpression(
expr[:2], False)
else:
self._expr = logical_expr.RangedExpression(expr, False)
else:
raise ValueError(
"Constraint '%s' does not have a proper value. "
"Found a tuple of length %d. Expecting a tuple of "
"length 2 or 3:\n"
" Equality: (left, right)\n"
" Inequality: (lower, expression, upper)"
% (self.name, len(expr)))
#
# Ignore an 'empty' constraint
#
elif _expr_type is type:
del self.parent_component()[self.index()]
if expr is Constraint.Skip:
return
elif expr is Constraint.Infeasible:
# TODO: create a trivial infeasible constraint. This
# could be useful in the case of GDP where certain
# disjuncts are trivially infeasible, but we would still
# like to express the disjunction.
#del self.parent_component()[self.index()]
raise ValueError(
"Constraint '%s' is always infeasible"
% (self.name,) )
else:
raise ValueError(
"Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
elif expr is None:
raise ValueError(_rule_returned_none_error % (self.name,))
elif _expr_type is bool:
raise ValueError(
"Invalid constraint expression. The constraint "
"expression resolved to a trivial Boolean (%s) "
"instead of a Pyomo object. Please modify your "
"rule to return Constraint.%s instead of %s."
"\n\nError thrown for Constraint '%s'"
% (expr, "Feasible" if expr else "Infeasible",
expr, self.name))
else:
msg = ("Constraint '%s' does not have a proper "
"value. Found '%s'\nExpecting a tuple or "
"equation. Examples:"
"\n sum(model.costs) == model.income"
"\n (0, model.price[item], 50)"
% (self.name, str(expr)))
raise ValueError(msg)
#
# Normalize the incoming expressions, if we can
#
args = self._expr.args
if self._expr.__class__ is logical_expr.InequalityExpression:
if self._expr.strict:
raise ValueError(
"Constraint '%s' encountered a strict "
"inequality expression ('>' or '< '). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='."
% (self.name,))
if args[1] is None or args[1].__class__ in native_numeric_types \
or not args[1].is_potentially_variable():
self._body = args[0]
self._upper = args[1]
elif args[0] is None or args[0].__class__ in native_numeric_types \
or not args[0].is_potentially_variable():
self._lower = args[0]
self._body = args[1]
else:
self._body = args[0] - args[1]
self._upper = 0
elif self._expr.__class__ is logical_expr.EqualityExpression:
if args[0] is None or args[1] is None:
# Error check: ensure equality does not have infinite RHS
raise ValueError(
"Equality constraint '%s' defined with "
"non-finite term (%sHS == None)." % (
self.name, 'L' if args[0] is None else 'R'))
if args[0].__class__ in native_numeric_types or \
not args[0].is_potentially_variable():
self._lower = self._upper = args[0]
self._body = args[1]
elif args[1].__class__ in native_numeric_types or \
not args[1].is_potentially_variable():
self._lower = self._upper = args[1]
self._body = args[0]
else:
self._lower = self._upper = 0
self._body = args[0] - args[1]
# The following logic is caught below when checking for
# invalid non-finite bounds:
#
# if self._lower.__class__ in native_numeric_types and \
# not math.isfinite(self._lower):
# raise ValueError(
# "Equality constraint '%s' defined with "
# "non-finite term." % (self.name))
elif self._expr.__class__ is logical_expr.RangedExpression:
if any(self._expr.strict):
raise ValueError(
"Constraint '%s' encountered a strict "
"inequality expression ('>' or '< '). All"
" constraints must be formulated using "
"using '<=', '>=', or '=='."
% (self.name,))
if all(( arg is None or
arg.__class__ in native_numeric_types or
not arg.is_potentially_variable() )
for arg in (args[0], args[2])):
self._lower, self._body, self._upper = args
else:
# Defensive programming: we currently only support three
# relational expression types. This will only be hit if
# someone defines a fourth...
raise DeveloperError("Unrecognized relational expression type: %s"
% (self._expr.__class__.__name__,))
# We have historically mapped incoming inf to None
if self._lower.__class__ in native_numeric_types:
if self._lower == -_inf:
self._lower = None
elif not math.isfinite(self._lower):
raise ValueError(
"Constraint '%s' created with an invalid non-finite "
"lower bound (%s)." % (self.name, self._lower))
if self._upper.__class__ in native_numeric_types:
if self._upper == _inf:
self._upper = None
elif not math.isfinite(self._upper):
raise ValueError(
"Constraint '%s' created with an invalid non-finite "
"upper bound (%s)." % (self.name, self._upper))
[docs]@ModelComponentFactory.register("General constraint expressions.")
class Constraint(ActiveIndexedComponent):
"""
This modeling component defines a constraint expression using a
rule function.
Constructor arguments:
expr
A Pyomo expression for this constraint
rule
A function that is used to construct constraint expressions
doc
A text string describing this component
name
A name for this component
Public class attributes:
doc
A text string describing this component
name
A name for this component
active
A boolean that is true if this component will be used to
construct a model instance
rule
The rule used to initialize the constraint(s)
Private class attributes:
_constructed
A boolean that is true if this component has been constructed
_data
A dictionary from the index set to component data objects
_index
The set of valid indices
_implicit_subsets
A tuple of set objects that represents the index set
_model
A weakref to the model that owns this component
_parent
A weakref to the parent block that owns this component
_type
The class type for the derived subclass
"""
_ComponentDataClass = _GeneralConstraintData
class Infeasible(object): pass
Feasible = ActiveIndexedComponent.Skip
NoConstraint = ActiveIndexedComponent.Skip
Violated = Infeasible
Satisfied = Feasible
def __new__(cls, *args, **kwds):
if cls != Constraint:
return super(Constraint, cls).__new__(cls)
if not args or (args[0] is UnindexedComponent_set and len(args)==1):
return super(Constraint, cls).__new__(AbstractScalarConstraint)
else:
return super(Constraint, cls).__new__(IndexedConstraint)
def __init__(self, *args, **kwargs):
_init = self._pop_from_kwargs(
'Constraint', kwargs, ('rule', 'expr'), None)
# Special case: we accept 2- and 3-tuples as constraints
if type(_init) is tuple:
self.rule = Initializer(_init, treat_sequences_as_mappings=False)
else:
self.rule = Initializer(_init)
kwargs.setdefault('ctype', Constraint)
ActiveIndexedComponent.__init__(self, *args, **kwargs)
[docs] def construct(self, data=None):
"""
Construct the expression(s) for this constraint.
"""
if self._constructed:
return
self._constructed=True
timer = ConstructionTimer(self)
if is_debug_set(logger):
logger.debug("Constructing constraint %s" % (self.name))
rule = self.rule
try:
# We do not (currently) accept data for constructing Constraints
index = None
assert data is None
if rule is None:
# If there is no rule, then we are immediately done.
return
if rule.constant() and self.is_indexed():
raise IndexError(
"Constraint '%s': Cannot initialize multiple indices "
"of a constraint with a single expression" %
(self.name,) )
block = self.parent_block()
if rule.contains_indices():
# The index is coming in externally; we need to validate it
for index in rule.indices():
self[index] = rule(block, index)
elif not self.index_set().isfinite():
# If the index is not finite, then we cannot iterate
# over it. Since the rule doesn't provide explicit
# indices, then there is nothing we can do (the
# assumption is that the user will trigger specific
# indices to be created at a later time).
pass
else:
# Bypass the index validation and create the member directly
for index in self.index_set():
self._setitem_when_not_present(index, rule(block, index))
except Exception:
err = sys.exc_info()[1]
logger.error(
"Rule failed when generating expression for "
"Constraint %s with index %s:\n%s: %s"
% (self.name,
str(index),
type(err).__name__,
err))
raise
finally:
timer.report()
def _getitem_when_not_present(self, idx):
if self.rule is None:
raise KeyError(idx)
con = self._setitem_when_not_present(
idx, self.rule(self.parent_block(), idx))
if con is None:
raise KeyError(idx)
return con
def _pprint(self):
"""
Return data that will be printed for this component.
"""
return (
[("Size", len(self)),
("Index", self._index if self.is_indexed() else None),
("Active", self.active),
],
self.items(),
( "Lower","Body","Upper","Active" ),
lambda k, v: [ "-Inf" if v.lower is None else v.lower,
v.body,
"+Inf" if v.upper is None else v.upper,
v.active,
]
)
[docs] def display(self, prefix="", ostream=None):
"""
Print component state information
This duplicates logic in Component.pprint()
"""
if not self.active:
return
if ostream is None:
ostream = sys.stdout
tab=" "
ostream.write(prefix+self.local_name+" : ")
ostream.write("Size="+str(len(self)))
ostream.write("\n")
tabular_writer( ostream, prefix+tab,
((k,v) for k,v in self._data.items() if v.active),
( "Lower","Body","Upper" ),
lambda k, v: [
value(v.lower, exception=False),
value(v.body, exception=False),
value(v.upper, exception=False),
])
class ScalarConstraint(_GeneralConstraintData, Constraint):
"""
ScalarConstraint is the implementation representing a single,
non-indexed constraint.
"""
def __init__(self, *args, **kwds):
_GeneralConstraintData.__init__(self, component=self, expr=None)
Constraint.__init__(self, *args, **kwds)
#
# Since this class derives from Component and
# Component.__getstate__ just packs up the entire __dict__ into
# the state dict, we do not need to define the __getstate__ or
# __setstate__ methods. We just defer to the super() get/set
# state. Since all of our get/set state methods rely on super()
# to traverse the MRO, this will automatically pick up both the
# Component and Data base classes.
#
#
# Singleton constraints are strange in that we want them to be
# both be constructed but have len() == 0 when not initialized with
# anything (at least according to the unit tests that are
# currently in place). So during initialization only, we will
# treat them as "indexed" objects where things like
# Constraint.Skip are managed. But after that they will behave
# like _ConstraintData objects where set_value does not handle
# Constraint.Skip but expects a valid expression or None.
#
@property
def body(self):
"""Access the body of a constraint expression."""
if not self._data:
raise ValueError(
"Accessing the body of ScalarConstraint "
"'%s' before the Constraint has been assigned "
"an expression. There is currently "
"nothing to access." % (self.name))
return _GeneralConstraintData.body.fget(self)
@property
def lower(self):
"""Access the lower bound of a constraint expression."""
if not self._data:
raise ValueError(
"Accessing the lower bound of ScalarConstraint "
"'%s' before the Constraint has been assigned "
"an expression. There is currently "
"nothing to access." % (self.name))
return _GeneralConstraintData.lower.fget(self)
@property
def upper(self):
"""Access the upper bound of a constraint expression."""
if not self._data:
raise ValueError(
"Accessing the upper bound of ScalarConstraint "
"'%s' before the Constraint has been assigned "
"an expression. There is currently "
"nothing to access." % (self.name))
return _GeneralConstraintData.upper.fget(self)
@property
def equality(self):
"""A boolean indicating whether this is an equality constraint."""
if not self._data:
raise ValueError(
"Accessing the equality flag of ScalarConstraint "
"'%s' before the Constraint has been assigned "
"an expression. There is currently "
"nothing to access." % (self.name))
return _GeneralConstraintData.equality.fget(self)
@property
def strict_lower(self):
"""A boolean indicating whether this constraint has a strict lower bound."""
if not self._data:
raise ValueError(
"Accessing the strict_lower flag of ScalarConstraint "
"'%s' before the Constraint has been assigned "
"an expression. There is currently "
"nothing to access." % (self.name))
return _GeneralConstraintData.strict_lower.fget(self)
@property
def strict_upper(self):
"""A boolean indicating whether this constraint has a strict upper bound."""
if not self._data:
raise ValueError(
"Accessing the strict_upper flag of ScalarConstraint "
"'%s' before the Constraint has been assigned "
"an expression. There is currently "
"nothing to access." % (self.name))
return _GeneralConstraintData.strict_upper.fget(self)
def clear(self):
self._data = {}
def set_value(self, expr):
"""Set the expression on this constraint."""
if not self._data:
self._data[None] = self
return super(ScalarConstraint, self).set_value(expr)
#
# Leaving this method for backward compatibility reasons.
# (probably should be removed)
#
def add(self, index, expr):
"""Add a constraint with a given index."""
if index is not None:
raise ValueError(
"ScalarConstraint object '%s' does not accept "
"index values other than None. Invalid value: %s"
% (self.name, index))
self.set_value(expr)
return self
class SimpleConstraint(metaclass=RenamedClass):
__renamed__new_class__ = ScalarConstraint
__renamed__version__ = '6.0'
@disable_methods({'add', 'set_value', 'body', 'lower', 'upper', 'equality',
'strict_lower', 'strict_upper'})
class AbstractScalarConstraint(ScalarConstraint):
pass
class AbstractSimpleConstraint(metaclass=RenamedClass):
__renamed__new_class__ = AbstractScalarConstraint
__renamed__version__ = '6.0'
class IndexedConstraint(Constraint):
#
# Leaving this method for backward compatibility reasons
#
# Note: Beginning after Pyomo 5.2 this method will now validate that
# the index is in the underlying index set (through 5.2 the index
# was not checked).
#
def add(self, index, expr):
"""Add a constraint with a given index."""
return self.__setitem__(index, expr)
@ModelComponentFactory.register("A list of constraint expressions.")
class ConstraintList(IndexedConstraint):
"""
A constraint component that represents a list of constraints.
Constraints can be indexed by their index, but when they are
added an index value is not specified.
"""
class End(object): pass
def __init__(self, **kwargs):
"""Constructor"""
if 'expr' in kwargs:
raise ValueError(
"ConstraintList does not accept the 'expr' keyword")
_rule = kwargs.pop('rule', None)
self._starting_index = kwargs.pop('starting_index', 1)
args = (Set(dimen=1),)
super(ConstraintList, self).__init__(*args, **kwargs)
self.rule = Initializer(_rule,
treat_sequences_as_mappings=False,
allow_generators=True)
# HACK to make the "counted call" syntax work. We wait until
# after the base class is set up so that is_indexed() is
# reliable.
if self.rule is not None and type(self.rule) is IndexedCallInitializer:
self.rule = CountedCallInitializer(
self, self.rule, self._starting_index
)
def construct(self, data=None):
"""
Construct the expression(s) for this constraint.
"""
if self._constructed:
return
self._constructed=True
if is_debug_set(logger):
logger.debug("Constructing constraint list %s"
% (self.name))
self.index_set().construct()
if self.rule is not None:
_rule = self.rule(self.parent_block(), ())
for cc in iter(_rule):
if cc is ConstraintList.End:
break
if cc is Constraint.Skip:
continue
self.add(cc)
def add(self, expr):
"""Add a constraint with an implicit index."""
next_idx = len(self._index) + self._starting_index
self._index.add(next_idx)
return self.__setitem__(next_idx, expr)