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Google OR-Tools v9.12
a fast and portable software suite for combinatorial optimization
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Google OR-Tools v9.12
a fast and portable software suite for combinatorial optimization
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Public Member Functions | |
| __init__ (self, *args, **kwargs) | |
| AddWeightedSumLessOrEqualConstantDimension (self, *args) | |
| AddWeightedSumEqualVarDimension (self, *args) | |
| AddSumVariableWeightsLessOrEqualConstantDimension (self, usage, capacity) | |
| AddWeightedSumOfAssignedDimension (self, weights, cost_var) | |
| AddCountUsedBinDimension (self, count_var) | |
| AddCountAssignedItemsDimension (self, count_var) | |
| Post (self) | |
| InitialPropagateWrapper (self) | |
| DebugString (self) | |
 Public Member Functions inherited from ortools.constraint_solver.pywrapcp.Constraint | |
| __init__ (self, solver) | |
| Var (self) | |
| __repr__ (self) | |
| __str__ (self) | |
| __add__ (self, *args) | |
| __radd__ (self, v) | |
| __sub__ (self, *args) | |
| __rsub__ (self, v) | |
| __mul__ (self, *args) | |
| __rmul__ (self, v) | |
| __floordiv__ (self, v) | |
| __neg__ (self) | |
| __abs__ (self) | |
| Square (self) | |
| __eq__ (self, *args) | |
| __ne__ (self, *args) | |
| __ge__ (self, *args) | |
| __gt__ (self, *args) | |
| __le__ (self, *args) | |
| __lt__ (self, *args) | |
| MapTo (self, vars) | |
| IndexOf (self, *args) | |
| __disown__ (self) | |
| Public Member Functions inherited from ortools.constraint_solver.pywrapcp.PropagationBaseObject | |
| __init__ (self, s) | |
| solver (self) | |
| Name (self) | |
| __disown__ (self) | |
| Public Member Functions inherited from ortools.constraint_solver.pywrapcp.BaseObject | |
| __init__ (self) | |
| __str__ (self) | |
| __repr__ (self) | |
| __disown__ (self) | |
Properties | |
| thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
| Properties inherited from ortools.constraint_solver.pywrapcp.Constraint | |
| thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
| Properties inherited from ortools.constraint_solver.pywrapcp.PropagationBaseObject | |
| thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
| Properties inherited from ortools.constraint_solver.pywrapcp.BaseObject | |
| thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
Definition at line 3894 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.__init__ | ( | self, | |
| * | args, | ||
| ** | kwargs ) |
Definition at line 3897 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.AddCountAssignedItemsDimension | ( | self, | |
| count_var ) |
This dimension links 'count_var' to the actual number of items
assigned to a bin in the pack.
Definition at line 3973 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.AddCountUsedBinDimension | ( | self, | |
| count_var ) |
This dimension links 'count_var' to the actual number of bins used in the
pack.
Definition at line 3966 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.AddSumVariableWeightsLessOrEqualConstantDimension | ( | self, | |
| usage, | |||
| capacity ) |
This dimension imposes:
forall b in bins,
sum (i in items: usage[i] * is_assigned(i, b)) <= capacity[b]
where is_assigned(i, b) is true if and only if item i is assigned
to the bin b.
This can be used to model shapes of items by linking variables of
the same item on parallel dimensions with an allowed assignment
constraint.
Definition at line 3945 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.AddWeightedSumEqualVarDimension | ( | self, | |
| * | args ) |
*Overload 1:*
This dimension imposes that for all bins b, the weighted sum
(weights[i]) of all objects i assigned to 'b' is equal to loads[b].
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*Overload 2:*
This dimension imposes that for all bins b, the weighted sum
(weights->Run(i, b)) of all objects i assigned to 'b' is equal to
loads[b].
Definition at line 3930 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.AddWeightedSumLessOrEqualConstantDimension | ( | self, | |
| * | args ) |
*Overload 1:*
Dimensions are additional constraints than can restrict what is
possible with the pack constraint. It can be used to set capacity
limits, to count objects per bin, to compute unassigned
penalties...
This dimension imposes that for all bins b, the weighted sum
(weights[i]) of all objects i assigned to 'b' is less or equal
'bounds[b]'.
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*Overload 2:*
This dimension imposes that for all bins b, the weighted sum
(weights->Run(i)) of all objects i assigned to 'b' is less or
equal to 'bounds[b]'. Ownership of the callback is transferred to
the pack constraint.
|
*Overload 3:*
This dimension imposes that for all bins b, the weighted sum
(weights->Run(i, b) of all objects i assigned to 'b' is less or
equal to 'bounds[b]'. Ownership of the callback is transferred to
the pack constraint.
Definition at line 3901 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.AddWeightedSumOfAssignedDimension | ( | self, | |
| weights, | |||
| cost_var ) |
This dimension enforces that cost_var == sum of weights[i] for
all objects 'i' assigned to a bin.
Definition at line 3959 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.DebugString | ( | self | ) |
Reimplemented from ortools.constraint_solver.pywrapcp.Constraint.
Definition at line 3986 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.InitialPropagateWrapper | ( | self | ) |
This method performs the initial propagation of the
constraint. It is called just after the post.
Reimplemented from ortools.constraint_solver.pywrapcp.Constraint.
Definition at line 3983 of file pywrapcp.py.
| ortools.constraint_solver.pywrapcp.Pack.Post | ( | self | ) |
This method is called when the constraint is processed by the
solver. Its main usage is to attach demons to variables.
Reimplemented from ortools.constraint_solver.pywrapcp.Constraint.
Definition at line 3980 of file pywrapcp.py.
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static |
Definition at line 3895 of file pywrapcp.py.
1.13.2