Source code for pyomo.core.base.constraint

#  ___________________________________________________________________________
#
#  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)