Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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ortools.constraint_solver.pywrapcp.RoutingModel Class Reference
Inheritance diagram for ortools.constraint_solver.pywrapcp.RoutingModel:

Public Member Functions

 __init__ (self, *args)
 
 RegisterUnaryTransitVector (self, values)
 
 RegisterUnaryTransitCallback (self, *args)
 
 RegisterTransitMatrix (self, values)
 
 RegisterTransitCallback (self, *args)
 
 TransitCallback (self, callback_index)
 
 UnaryTransitCallbackOrNull (self, callback_index)
 
 AddDimension (self, evaluator_index, slack_max, capacity, fix_start_cumul_to_zero, name)
 
 AddDimensionWithVehicleTransits (self, evaluator_indices, slack_max, capacity, fix_start_cumul_to_zero, name)
 
 AddDimensionWithVehicleCapacity (self, evaluator_index, slack_max, vehicle_capacities, fix_start_cumul_to_zero, name)
 
 AddDimensionWithVehicleTransitAndCapacity (self, evaluator_indices, slack_max, vehicle_capacities, fix_start_cumul_to_zero, name)
 
 AddConstantDimensionWithSlack (self, value, capacity, slack_max, fix_start_cumul_to_zero, name)
 
 AddConstantDimension (self, value, capacity, fix_start_cumul_to_zero, name)
 
 AddVectorDimension (self, values, capacity, fix_start_cumul_to_zero, name)
 
 AddMatrixDimension (self, values, capacity, fix_start_cumul_to_zero, name)
 
 GetAllDimensionNames (self)
 
 GetDimensions (self)
 
 GetDimensionsWithSoftOrSpanCosts (self)
 
 GetUnaryDimensions (self)
 
 GetDimensionsWithGlobalCumulOptimizers (self)
 
 GetDimensionsWithLocalCumulOptimizers (self)
 
 HasGlobalCumulOptimizer (self, dimension)
 
 HasLocalCumulOptimizer (self, dimension)
 
 GetMutableGlobalCumulLPOptimizer (self, dimension)
 
 GetMutableGlobalCumulMPOptimizer (self, dimension)
 
 GetMutableLocalCumulLPOptimizer (self, dimension)
 
 GetMutableLocalCumulMPOptimizer (self, dimension)
 
 HasDimension (self, dimension_name)
 
 GetDimensionOrDie (self, dimension_name)
 
 GetMutableDimension (self, dimension_name)
 
 SetPrimaryConstrainedDimension (self, dimension_name)
 
 GetPrimaryConstrainedDimension (self)
 
 GetResourceGroup (self, rg_index)
 
 GetDimensionResourceGroupIndices (self, dimension)
 
 GetDimensionResourceGroupIndex (self, dimension)
 
 AddDisjunction (self, *args)
 
 GetDisjunctionIndices (self, index)
 
 GetDisjunctionPenalty (self, index)
 
 GetDisjunctionMaxCardinality (self, index)
 
 GetNumberOfDisjunctions (self)
 
 HasMandatoryDisjunctions (self)
 
 HasMaxCardinalityConstrainedDisjunctions (self)
 
 GetPerfectBinaryDisjunctions (self)
 
 IgnoreDisjunctionsAlreadyForcedToZero (self)
 
 AddSoftSameVehicleConstraint (self, indices, cost)
 
 SetAllowedVehiclesForIndex (self, vehicles, index)
 
 IsVehicleAllowedForIndex (self, vehicle, index)
 
 AddPickupAndDelivery (self, pickup, delivery)
 
 AddPickupAndDeliverySets (self, pickup_disjunction, delivery_disjunction)
 
 GetPickupPositions (self, node_index)
 
 GetDeliveryPositions (self, node_index)
 
 IsPickup (self, node_index)
 
 IsDelivery (self, node_index)
 
 SetPickupAndDeliveryPolicyOfAllVehicles (self, policy)
 
 SetPickupAndDeliveryPolicyOfVehicle (self, policy, vehicle)
 
 GetPickupAndDeliveryPolicyOfVehicle (self, vehicle)
 
 GetNumOfSingletonNodes (self)
 
 SetVisitType (self, index, type, type_policy)
 
 GetVisitType (self, index)
 
 GetSingleNodesOfType (self, type)
 
 GetPairIndicesOfType (self, type)
 
 GetVisitTypePolicy (self, index)
 
 CloseVisitTypes (self)
 
 GetNumberOfVisitTypes (self)
 
 AddHardTypeIncompatibility (self, type1, type2)
 
 AddTemporalTypeIncompatibility (self, type1, type2)
 
 GetHardTypeIncompatibilitiesOfType (self, type)
 
 GetTemporalTypeIncompatibilitiesOfType (self, type)
 
 HasHardTypeIncompatibilities (self)
 
 HasTemporalTypeIncompatibilities (self)
 
 AddSameVehicleRequiredTypeAlternatives (self, dependent_type, required_type_alternatives)
 
 AddRequiredTypeAlternativesWhenAddingType (self, dependent_type, required_type_alternatives)
 
 AddRequiredTypeAlternativesWhenRemovingType (self, dependent_type, required_type_alternatives)
 
 GetSameVehicleRequiredTypeAlternativesOfType (self, type)
 
 GetRequiredTypeAlternativesWhenAddingType (self, type)
 
 GetRequiredTypeAlternativesWhenRemovingType (self, type)
 
 HasSameVehicleTypeRequirements (self)
 
 HasTemporalTypeRequirements (self)
 
 HasTypeRegulations (self)
 
 UnperformedPenalty (self, var_index)
 
 UnperformedPenaltyOrValue (self, default_value, var_index)
 
 GetDepot (self)
 
 SetMaximumNumberOfActiveVehicles (self, max_active_vehicles)
 
 GetMaximumNumberOfActiveVehicles (self)
 
 SetArcCostEvaluatorOfAllVehicles (self, evaluator_index)
 
 SetArcCostEvaluatorOfVehicle (self, evaluator_index, vehicle)
 
 SetFixedCostOfAllVehicles (self, cost)
 
 SetFixedCostOfVehicle (self, cost, vehicle)
 
 GetFixedCostOfVehicle (self, vehicle)
 
 SetPathEnergyCostOfVehicle (self, force, distance, unit_cost, vehicle)
 
 SetAmortizedCostFactorsOfAllVehicles (self, linear_cost_factor, quadratic_cost_factor)
 
 SetAmortizedCostFactorsOfVehicle (self, linear_cost_factor, quadratic_cost_factor, vehicle)
 
 GetAmortizedLinearCostFactorOfVehicles (self)
 
 GetAmortizedQuadraticCostFactorOfVehicles (self)
 
 SetVehicleUsedWhenEmpty (self, is_used, vehicle)
 
 IsVehicleUsedWhenEmpty (self, vehicle)
 
 SetFirstSolutionEvaluator (self, evaluator)
 
 AddLocalSearchOperator (self, ls_operator)
 
 AddSearchMonitor (self, monitor)
 
 AddAtSolutionCallback (self, callback, track_unchecked_neighbors=False)
 
 AddVariableMinimizedByFinalizer (self, var)
 
 AddVariableMaximizedByFinalizer (self, var)
 
 AddWeightedVariableMinimizedByFinalizer (self, var, cost)
 
 AddWeightedVariableMaximizedByFinalizer (self, var, cost)
 
 AddVariableTargetToFinalizer (self, var, target)
 
 AddWeightedVariableTargetToFinalizer (self, var, target, cost)
 
 CloseModel (self)
 
 CloseModelWithParameters (self, search_parameters)
 
 Solve (self, assignment=None)
 
 SolveWithParameters (self, search_parameters, solutions=None)
 
 SolveFromAssignmentWithParameters (self, assignment, search_parameters, solutions=None)
 
 FastSolveFromAssignmentWithParameters (self, assignment, search_parameters, check_solution_in_cp, touched=None)
 
 SolveFromAssignmentsWithParameters (self, assignments, search_parameters, solutions=None)
 
 SolveWithIteratedLocalSearch (self, search_parameters)
 
 SetAssignmentFromOtherModelAssignment (self, target_assignment, source_model, source_assignment)
 
 ComputeLowerBound (self)
 
 objective_lower_bound (self)
 
 status (self)
 
 enable_deep_serialization (self)
 
 ApplyLocks (self, locks)
 
 ApplyLocksToAllVehicles (self, locks, close_routes)
 
 PreAssignment (self)
 
 MutablePreAssignment (self)
 
 WriteAssignment (self, file_name)
 
 ReadAssignment (self, file_name)
 
 RestoreAssignment (self, solution)
 
 ReadAssignmentFromRoutes (self, routes, ignore_inactive_indices)
 
 RoutesToAssignment (self, routes, ignore_inactive_indices, close_routes, assignment)
 
 AssignmentToRoutes (self, assignment, routes)
 
 CompactAssignment (self, assignment)
 
 CompactAndCheckAssignment (self, assignment)
 
 AddToAssignment (self, var)
 
 AddIntervalToAssignment (self, interval)
 
 PackCumulsOfOptimizerDimensionsFromAssignment (self, original_assignment, duration_limit, time_limit_was_reached=None)
 
 GetOrCreateNodeNeighborsByCostClass (self, *args)
 
 AddLocalSearchFilter (self, filter)
 
 Start (self, vehicle)
 
 End (self, vehicle)
 
 IsStart (self, index)
 
 IsEnd (self, index)
 
 VehicleIndex (self, index)
 
 Next (self, assignment, index)
 
 IsVehicleUsed (self, assignment, vehicle)
 
 NextVar (self, index)
 
 ActiveVar (self, index)
 
 ActiveVehicleVar (self, vehicle)
 
 VehicleRouteConsideredVar (self, vehicle)
 
 VehicleVar (self, index)
 
 ResourceVar (self, vehicle, resource_group)
 
 CostVar (self)
 
 GetArcCostForVehicle (self, from_index, to_index, vehicle)
 
 CostsAreHomogeneousAcrossVehicles (self)
 
 GetHomogeneousCost (self, from_index, to_index)
 
 GetArcCostForFirstSolution (self, from_index, to_index)
 
 GetArcCostForClass (self, from_index, to_index, cost_class_index)
 
 GetCostClassIndexOfVehicle (self, vehicle)
 
 HasVehicleWithCostClassIndex (self, cost_class_index)
 
 GetCostClassesCount (self)
 
 GetNonZeroCostClassesCount (self)
 
 GetVehicleClassIndexOfVehicle (self, vehicle)
 
 GetVehicleOfClass (self, vehicle_class)
 
 GetVehicleClassesCount (self)
 
 GetSameVehicleIndicesOfIndex (self, node)
 
 GetVehicleTypeContainer (self)
 
 ArcIsMoreConstrainedThanArc (self, _from, to1, to2)
 
 DebugOutputAssignment (self, solution_assignment, dimension_to_print)
 
 CheckIfAssignmentIsFeasible (self, assignment, call_at_solution_monitors)
 
 solver (self)
 
 CheckLimit (self, *args)
 
 RemainingTime (self)
 
 UpdateTimeLimit (self, time_limit)
 
 TimeBuffer (self)
 
 GetMutableCPSatInterrupt (self)
 
 GetMutableCPInterrupt (self)
 
 CancelSearch (self)
 
 nodes (self)
 
 vehicles (self)
 
 Size (self)
 
 GetNumberOfDecisionsInFirstSolution (self, search_parameters)
 
 GetNumberOfRejectsInFirstSolution (self, search_parameters)
 
 GetAutomaticFirstSolutionStrategy (self)
 
 IsMatchingModel (self)
 
 AreRoutesInterdependent (self, parameters)
 
 MakeGuidedSlackFinalizer (self, dimension, initializer)
 
 MakeSelfDependentDimensionFinalizer (self, dimension)
 
 GetPathsMetadata (self)
 

Static Public Attributes

 ROUTING_NOT_SOLVED = _pywrapcp.RoutingModel_ROUTING_NOT_SOLVED
 
 ROUTING_SUCCESS = _pywrapcp.RoutingModel_ROUTING_SUCCESS
 
 ROUTING_PARTIAL_SUCCESS_LOCAL_OPTIMUM_NOT_REACHED = _pywrapcp.RoutingModel_ROUTING_PARTIAL_SUCCESS_LOCAL_OPTIMUM_NOT_REACHED
 
 ROUTING_FAIL = _pywrapcp.RoutingModel_ROUTING_FAIL
 
 ROUTING_FAIL_TIMEOUT = _pywrapcp.RoutingModel_ROUTING_FAIL_TIMEOUT
 
 ROUTING_INVALID = _pywrapcp.RoutingModel_ROUTING_INVALID
 
 ROUTING_INFEASIBLE = _pywrapcp.RoutingModel_ROUTING_INFEASIBLE
 
 ROUTING_OPTIMAL = _pywrapcp.RoutingModel_ROUTING_OPTIMAL
 
 PICKUP_AND_DELIVERY_NO_ORDER = _pywrapcp.RoutingModel_PICKUP_AND_DELIVERY_NO_ORDER
 
 PICKUP_AND_DELIVERY_LIFO = _pywrapcp.RoutingModel_PICKUP_AND_DELIVERY_LIFO
 
 PICKUP_AND_DELIVERY_FIFO = _pywrapcp.RoutingModel_PICKUP_AND_DELIVERY_FIFO
 
 kTransitEvaluatorSignUnknown = _pywrapcp.RoutingModel_kTransitEvaluatorSignUnknown
 
 kTransitEvaluatorSignPositiveOrZero = _pywrapcp.RoutingModel_kTransitEvaluatorSignPositiveOrZero
 
 kTransitEvaluatorSignNegativeOrZero = _pywrapcp.RoutingModel_kTransitEvaluatorSignNegativeOrZero
 
 TYPE_ADDED_TO_VEHICLE = _pywrapcp.RoutingModel_TYPE_ADDED_TO_VEHICLE
 
 ADDED_TYPE_REMOVED_FROM_VEHICLE = _pywrapcp.RoutingModel_ADDED_TYPE_REMOVED_FROM_VEHICLE
 
 TYPE_ON_VEHICLE_UP_TO_VISIT = _pywrapcp.RoutingModel_TYPE_ON_VEHICLE_UP_TO_VISIT
 
 TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED = _pywrapcp.RoutingModel_TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED
 

Properties

 thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
 

Detailed Description

Definition at line 4638 of file pywrapcp.py.

Constructor & Destructor Documentation

◆ __init__()

ortools.constraint_solver.pywrapcp.RoutingModel.__init__ ( self,
* args )

Definition at line 4668 of file pywrapcp.py.

Member Function Documentation

◆ ActiveVar()

ortools.constraint_solver.pywrapcp.RoutingModel.ActiveVar ( self,
index )
 Returns the active variable of the node corresponding to index.

Definition at line 5687 of file pywrapcp.py.

◆ ActiveVehicleVar()

ortools.constraint_solver.pywrapcp.RoutingModel.ActiveVehicleVar ( self,
vehicle )
    Returns the active variable of the vehicle. It will be equal to 1 iff the
    route of the vehicle is not empty, 0 otherwise.

Definition at line 5691 of file pywrapcp.py.

◆ AddAtSolutionCallback()

ortools.constraint_solver.pywrapcp.RoutingModel.AddAtSolutionCallback ( self,
callback,
track_unchecked_neighbors = False )
    Adds a callback called each time a solution is found during the search.
    This is a shortcut to creating a monitor to call the callback on
    AtSolution() and adding it with AddSearchMonitor.
    If track_unchecked_neighbors is true, the callback will also be called on
    AcceptUncheckedNeighbor() events, which is useful to grab solutions
    obtained when solver_parameters.check_solution_period > 1 (aka fastLS).

Definition at line 5293 of file pywrapcp.py.

◆ AddConstantDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.AddConstantDimension ( self,
value,
capacity,
fix_start_cumul_to_zero,
name )

Definition at line 4747 of file pywrapcp.py.

◆ AddConstantDimensionWithSlack()

ortools.constraint_solver.pywrapcp.RoutingModel.AddConstantDimensionWithSlack ( self,
value,
capacity,
slack_max,
fix_start_cumul_to_zero,
name )
    Creates a dimension where the transit variable is constrained to be
    equal to 'value'; 'capacity' is the upper bound of the cumul variables.
    'name' is the name used to reference the dimension; this name is used to
    get cumul and transit variables from the routing model.
    Returns a pair consisting of an index to the registered unary transit
    callback and a bool denoting whether the dimension has been created.
    It is false if a dimension with the same name has already been created
    (and doesn't create the new dimension but still register a new callback).

Definition at line 4734 of file pywrapcp.py.

◆ AddDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.AddDimension ( self,
evaluator_index,
slack_max,
capacity,
fix_start_cumul_to_zero,
name )
    Model creation
    Methods to add dimensions to routes; dimensions represent quantities
    accumulated at nodes along the routes. They represent quantities such as
    weights or volumes carried along the route, or distance or times.
    Quantities at a node are represented by "cumul" variables and the increase
    or decrease of quantities between nodes are represented by "transit"
    variables. These variables are linked as follows:
    if j == next(i), cumul(j) = cumul(i) + transit(i, j) + slack(i)
    where slack is a positive slack variable (can represent waiting times for
    a time dimension).
    Setting the value of fix_start_cumul_to_zero to true will force the
    "cumul" variable of the start node of all vehicles to be equal to 0.
    Creates a dimension where the transit variable is constrained to be
    equal to evaluator(i, next(i)); 'slack_max' is the upper bound of the
    slack variable and 'capacity' is the upper bound of the cumul variables.
    'name' is the name used to reference the dimension; this name is used to
    get cumul and transit variables from the routing model.
    Returns false if a dimension with the same name has already been created
    (and doesn't create the new dimension).
    Takes ownership of the callback 'evaluator'.

Definition at line 4700 of file pywrapcp.py.

◆ AddDimensionWithVehicleCapacity()

ortools.constraint_solver.pywrapcp.RoutingModel.AddDimensionWithVehicleCapacity ( self,
evaluator_index,
slack_max,
vehicle_capacities,
fix_start_cumul_to_zero,
name )

Definition at line 4728 of file pywrapcp.py.

◆ AddDimensionWithVehicleTransitAndCapacity()

ortools.constraint_solver.pywrapcp.RoutingModel.AddDimensionWithVehicleTransitAndCapacity ( self,
evaluator_indices,
slack_max,
vehicle_capacities,
fix_start_cumul_to_zero,
name )

Definition at line 4731 of file pywrapcp.py.

◆ AddDimensionWithVehicleTransits()

ortools.constraint_solver.pywrapcp.RoutingModel.AddDimensionWithVehicleTransits ( self,
evaluator_indices,
slack_max,
capacity,
fix_start_cumul_to_zero,
name )

Definition at line 4725 of file pywrapcp.py.

◆ AddDisjunction()

ortools.constraint_solver.pywrapcp.RoutingModel.AddDisjunction ( self,
* args )
    Adds a disjunction constraint on the indices: exactly 'max_cardinality' of
    the indices are active. Start and end indices of any vehicle cannot be
    part of a disjunction.

    If a penalty is given, at most 'max_cardinality' of the indices can be
    active, and if less are active, 'penalty' is payed per inactive index.
    This is equivalent to adding the constraint:
        p + Sum(i)active[i] == max_cardinality
    where p is an integer variable, and the following cost to the cost
    function:
        p * penalty.
    'penalty' must be positive to make the disjunction optional; a negative
    penalty will force 'max_cardinality' indices of the disjunction to be
    performed, and therefore p == 0.
    Note: passing a vector with a single index will model an optional index
    with a penalty cost if it is not visited.

Definition at line 4869 of file pywrapcp.py.

◆ AddHardTypeIncompatibility()

ortools.constraint_solver.pywrapcp.RoutingModel.AddHardTypeIncompatibility ( self,
type1,
type2 )
    Incompatibilities:
    Two nodes with "hard" incompatible types cannot share the same route at
    all, while with a "temporal" incompatibility they can't be on the same
    route at the same time.

Definition at line 5071 of file pywrapcp.py.

◆ AddIntervalToAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.AddIntervalToAssignment ( self,
interval )

Definition at line 5592 of file pywrapcp.py.

◆ AddLocalSearchFilter()

ortools.constraint_solver.pywrapcp.RoutingModel.AddLocalSearchFilter ( self,
filter )
    Adds a custom local search filter to the list of filters used to speed up
    local search by pruning unfeasible variable assignments.
    Calling this method after the routing model has been closed (CloseModel()
    or Solve() has been called) has no effect.
    The routing model does not take ownership of the filter.

Definition at line 5632 of file pywrapcp.py.

◆ AddLocalSearchOperator()

ortools.constraint_solver.pywrapcp.RoutingModel.AddLocalSearchOperator ( self,
ls_operator )
    Adds a local search operator to the set of operators used to solve the
    vehicle routing problem.

Definition at line 5282 of file pywrapcp.py.

◆ AddMatrixDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.AddMatrixDimension ( self,
values,
capacity,
fix_start_cumul_to_zero,
name )
    Creates a dimension where the transit variable is constrained to be
    equal to 'values[i][next(i)]' for node i; 'capacity' is the upper bound of
    the cumul variables. 'name' is the name used to reference the dimension;
    this name is used to get cumul and transit variables from the routing
    model.
    Returns a pair consisting of an index to the registered transit callback
    and a bool denoting whether the dimension has been created.
    It is false if a dimension with the same name has already been created
    (and doesn't create the new dimension but still register a new callback).

Definition at line 4764 of file pywrapcp.py.

◆ AddPickupAndDelivery()

ortools.constraint_solver.pywrapcp.RoutingModel.AddPickupAndDelivery ( self,
pickup,
delivery )
    Notifies that index1 and index2 form a pair of nodes which should belong
    to the same route. This methods helps the search find better solutions,
    especially in the local search phase.
    It should be called each time you have an equality constraint linking
    the vehicle variables of two node (including for instance pickup and
    delivery problems):
        Solver* const solver = routing.solver();
        int64_t index1 = manager.NodeToIndex(node1);
        int64_t index2 = manager.NodeToIndex(node2);
        solver->AddConstraint(solver->MakeEquality(
            routing.VehicleVar(index1),
            routing.VehicleVar(index2)));
        routing.AddPickupAndDelivery(index1, index2);

Definition at line 4963 of file pywrapcp.py.

◆ AddPickupAndDeliverySets()

ortools.constraint_solver.pywrapcp.RoutingModel.AddPickupAndDeliverySets ( self,
pickup_disjunction,
delivery_disjunction )
    Same as AddPickupAndDelivery but notifying that the performed node from
    the disjunction of index 'pickup_disjunction' is on the same route as the
    performed node from the disjunction of index 'delivery_disjunction'.

Definition at line 4981 of file pywrapcp.py.

◆ AddRequiredTypeAlternativesWhenAddingType()

ortools.constraint_solver.pywrapcp.RoutingModel.AddRequiredTypeAlternativesWhenAddingType ( self,
dependent_type,
required_type_alternatives )
    If type_D depends on type_R when adding type_D, any node_D of type_D and
    VisitTypePolicy TYPE_ADDED_TO_VEHICLE or
    TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED requires at least one type_R on its
    vehicle at the time node_D is visited.

Definition at line 5115 of file pywrapcp.py.

◆ AddRequiredTypeAlternativesWhenRemovingType()

ortools.constraint_solver.pywrapcp.RoutingModel.AddRequiredTypeAlternativesWhenRemovingType ( self,
dependent_type,
required_type_alternatives )
    The following requirements apply when visiting dependent nodes that remove
    their type from the route, i.e. type_R must be on the vehicle when type_D
    of VisitTypePolicy ADDED_TYPE_REMOVED_FROM_VEHICLE,
    TYPE_ON_VEHICLE_UP_TO_VISIT or TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED is
    visited.

Definition at line 5124 of file pywrapcp.py.

◆ AddSameVehicleRequiredTypeAlternatives()

ortools.constraint_solver.pywrapcp.RoutingModel.AddSameVehicleRequiredTypeAlternatives ( self,
dependent_type,
required_type_alternatives )
    Requirements:
    NOTE: As of 2019-04, cycles in the requirement graph are not supported,
    and lead to the dependent nodes being skipped if possible (otherwise
    the model is considered infeasible).
    The following functions specify that "dependent_type" requires at least
    one of the types in "required_type_alternatives".

    For same-vehicle requirements, a node of dependent type type_D requires at
    least one node of type type_R among the required alternatives on the same
    route.

Definition at line 5100 of file pywrapcp.py.

◆ AddSearchMonitor()

ortools.constraint_solver.pywrapcp.RoutingModel.AddSearchMonitor ( self,
monitor )
 Adds a search monitor to the search used to solve the routing model.

Definition at line 5289 of file pywrapcp.py.

◆ AddSoftSameVehicleConstraint()

ortools.constraint_solver.pywrapcp.RoutingModel.AddSoftSameVehicleConstraint ( self,
indices,
cost )
    Adds a soft constraint to force a set of variable indices to be on the
    same vehicle. If all nodes are not on the same vehicle, each extra vehicle
    used adds 'cost' to the cost function.

Definition at line 4942 of file pywrapcp.py.

◆ AddTemporalTypeIncompatibility()

ortools.constraint_solver.pywrapcp.RoutingModel.AddTemporalTypeIncompatibility ( self,
type1,
type2 )

Definition at line 5080 of file pywrapcp.py.

◆ AddToAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.AddToAssignment ( self,
var )
 Adds an extra variable to the vehicle routing assignment.

Definition at line 5588 of file pywrapcp.py.

◆ AddVariableMaximizedByFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.AddVariableMaximizedByFinalizer ( self,
var )
    Adds a variable to maximize in the solution finalizer (see above for
    information on the solution finalizer).

Definition at line 5313 of file pywrapcp.py.

◆ AddVariableMinimizedByFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.AddVariableMinimizedByFinalizer ( self,
var )
    Adds a variable to minimize in the solution finalizer. The solution
    finalizer is called each time a solution is found during the search and
    allows to instantiate secondary variables (such as dimension cumul
    variables).

Definition at line 5304 of file pywrapcp.py.

◆ AddVariableTargetToFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.AddVariableTargetToFinalizer ( self,
var,
target )
    Add a variable to set the closest possible to the target value in the
    solution finalizer.

Definition at line 5334 of file pywrapcp.py.

◆ AddVectorDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.AddVectorDimension ( self,
values,
capacity,
fix_start_cumul_to_zero,
name )
    Creates a dimension where the transit variable is constrained to be
    equal to 'values[i]' for node i; 'capacity' is the upper bound of
    the cumul variables. 'name' is the name used to reference the dimension;
    this name is used to get cumul and transit variables from the routing
    model.
    Returns a pair consisting of an index to the registered unary transit
    callback and a bool denoting whether the dimension has been created.
    It is false if a dimension with the same name has already been created
    (and doesn't create the new dimension but still register a new callback).

Definition at line 4750 of file pywrapcp.py.

◆ AddWeightedVariableMaximizedByFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.AddWeightedVariableMaximizedByFinalizer ( self,
var,
cost )
    Adds a variable to maximize in the solution finalizer, with a weighted
    priority: the higher the more priority it has.

Definition at line 5327 of file pywrapcp.py.

◆ AddWeightedVariableMinimizedByFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.AddWeightedVariableMinimizedByFinalizer ( self,
var,
cost )
    Adds a variable to minimize in the solution finalizer, with a weighted
    priority: the higher the more priority it has.

Definition at line 5320 of file pywrapcp.py.

◆ AddWeightedVariableTargetToFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.AddWeightedVariableTargetToFinalizer ( self,
var,
target,
cost )
    Same as above with a weighted priority: the higher the cost, the more
    priority it has to be set close to the target value.

Definition at line 5341 of file pywrapcp.py.

◆ ApplyLocks()

ortools.constraint_solver.pywrapcp.RoutingModel.ApplyLocks ( self,
locks )
    Applies a lock chain to the next search. 'locks' represents an ordered
    vector of nodes representing a partial route which will be fixed during
    the next search; it will constrain next variables such that:
    next[locks[i]] == locks[i+1].

    Returns the next variable at the end of the locked chain; this variable is
    not locked. An assignment containing the locks can be obtained by calling
    PreAssignment().

Definition at line 5454 of file pywrapcp.py.

◆ ApplyLocksToAllVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.ApplyLocksToAllVehicles ( self,
locks,
close_routes )
    Applies lock chains to all vehicles to the next search, such that locks[p]
    is the lock chain for route p. Returns false if the locks do not contain
    valid routes; expects that the routes do not contain the depots,
    i.e. there are empty vectors in place of empty routes.
    If close_routes is set to true, adds the end nodes to the route of each
    vehicle and deactivates other nodes.
    An assignment containing the locks can be obtained by calling
    PreAssignment().

Definition at line 5467 of file pywrapcp.py.

◆ ArcIsMoreConstrainedThanArc()

ortools.constraint_solver.pywrapcp.RoutingModel.ArcIsMoreConstrainedThanArc ( self,
_from,
to1,
to2 )
    Returns whether the arc from->to1 is more constrained than from->to2,
    taking into account, in order:
    - whether the destination node isn't an end node
    - whether the destination node is mandatory
    - whether the destination node is bound to the same vehicle as the source
    - the "primary constrained" dimension (see SetPrimaryConstrainedDimension)
    It then breaks ties using, in order:
    - the arc cost (taking unperformed penalties into account)
    - the size of the vehicle vars of "to1" and "to2" (lowest size wins)
    - the value: the lowest value of the indices to1 and to2 wins.
    See the .cc for details.
    The more constrained arc is typically preferable when building a
    first solution. This method is intended to be used as a callback for the
    BestValueByComparisonSelector value selector.
    Args:
      from: the variable index of the source node
      to1: the variable index of the first candidate destination node.
      to2: the variable index of the second candidate destination node.

Definition at line 5801 of file pywrapcp.py.

◆ AreRoutesInterdependent()

ortools.constraint_solver.pywrapcp.RoutingModel.AreRoutesInterdependent ( self,
parameters )
    Returns true if routes are interdependent. This means that any
    modification to a route might impact another.

Definition at line 5915 of file pywrapcp.py.

◆ AssignmentToRoutes()

ortools.constraint_solver.pywrapcp.RoutingModel.AssignmentToRoutes ( self,
assignment,
routes )
    Converts the solution in the given assignment to routes for all vehicles.
    Expects that assignment contains a valid solution (i.e. routes for all
    vehicles end with an end index for that vehicle).

Definition at line 5546 of file pywrapcp.py.

◆ CancelSearch()

ortools.constraint_solver.pywrapcp.RoutingModel.CancelSearch ( self)
 Cancels the current search.

Definition at line 5878 of file pywrapcp.py.

◆ CheckIfAssignmentIsFeasible()

ortools.constraint_solver.pywrapcp.RoutingModel.CheckIfAssignmentIsFeasible ( self,
assignment,
call_at_solution_monitors )
    Returns a vector cumul_bounds, for which cumul_bounds[i][j] is a pair
    containing the minimum and maximum of the CumulVar of the jth node on
    route i.
    - cumul_bounds[i][j].first is the minimum.
    - cumul_bounds[i][j].second is the maximum.
    Checks if an assignment is feasible.

Definition at line 5833 of file pywrapcp.py.

◆ CheckLimit()

ortools.constraint_solver.pywrapcp.RoutingModel.CheckLimit ( self,
* args )
    Returns true if the search limit has been crossed with the given time
    offset.

Definition at line 5851 of file pywrapcp.py.

◆ CloseModel()

ortools.constraint_solver.pywrapcp.RoutingModel.CloseModel ( self)
    Closes the current routing model; after this method is called, no
    modification to the model can be done, but RoutesToAssignment becomes
    available. Note that CloseModel() is automatically called by Solve() and
    other methods that produce solution.
    This is equivalent to calling
    CloseModelWithParameters(DefaultRoutingSearchParameters()).

Definition at line 5348 of file pywrapcp.py.

◆ CloseModelWithParameters()

ortools.constraint_solver.pywrapcp.RoutingModel.CloseModelWithParameters ( self,
search_parameters )
    Same as above taking search parameters (as of 10/2015 some the parameters
    have to be set when closing the model).

Definition at line 5359 of file pywrapcp.py.

◆ CloseVisitTypes()

ortools.constraint_solver.pywrapcp.RoutingModel.CloseVisitTypes ( self)
    This function should be called once all node visit types have been set and
    prior to adding any incompatibilities/requirements.
    "close" types.

Definition at line 5060 of file pywrapcp.py.

◆ CompactAndCheckAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.CompactAndCheckAssignment ( self,
assignment )
    Same as CompactAssignment() but also checks the validity of the final
    compact solution; if it is not valid, no attempts to repair it are made
    (instead, the method returns nullptr).

Definition at line 5580 of file pywrapcp.py.

◆ CompactAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.CompactAssignment ( self,
assignment )
    Converts the solution in the given assignment to routes for all vehicles.
    If the returned vector is route_indices, route_indices[i][j] is the index
    for jth location visited on route i. Note that contrary to
    AssignmentToRoutes, the vectors do include start and end locations.
    Returns a compacted version of the given assignment, in which all vehicles
    with id lower or equal to some N have non-empty routes, and all vehicles
    with id greater than N have empty routes. Does not take ownership of the
    returned object.
    If found, the cost of the compact assignment is the same as in the
    original assignment and it preserves the values of 'active' variables.
    Returns nullptr if a compact assignment was not found.
    This method only works in homogenous mode, and it only swaps equivalent
    vehicles (vehicles with the same start and end nodes). When creating the
    compact assignment, the empty plan is replaced by the route assigned to
    the compatible vehicle with the highest id. Note that with more complex
    constraints on vehicle variables, this method might fail even if a compact
    solution exists.
    This method changes the vehicle and dimension variables as necessary.
    While compacting the solution, only basic checks on vehicle variables are
    performed; if one of these checks fails no attempts to repair it are made
    (instead, the method returns nullptr).

Definition at line 5554 of file pywrapcp.py.

◆ ComputeLowerBound()

ortools.constraint_solver.pywrapcp.RoutingModel.ComputeLowerBound ( self)
    Computes a lower bound to the routing problem solving a linear assignment
    problem. The routing model must be closed before calling this method.
    Note that problems with node disjunction constraints (including optional
    nodes) and non-homogenous costs are not supported (the method returns 0 in
    these cases).

Definition at line 5429 of file pywrapcp.py.

◆ CostsAreHomogeneousAcrossVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.CostsAreHomogeneousAcrossVehicles ( self)
 Whether costs are homogeneous across all vehicles.

Definition at line 5732 of file pywrapcp.py.

◆ CostVar()

ortools.constraint_solver.pywrapcp.RoutingModel.CostVar ( self)
 Returns the global cost variable which is being minimized.

Definition at line 5721 of file pywrapcp.py.

◆ DebugOutputAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.DebugOutputAssignment ( self,
solution_assignment,
dimension_to_print )
    Print some debugging information about an assignment, including the
    feasible intervals of the CumulVar for dimension "dimension_to_print"
    at each step of the routes.
    If "dimension_to_print" is omitted, all dimensions will be printed.

Definition at line 5824 of file pywrapcp.py.

◆ enable_deep_serialization()

ortools.constraint_solver.pywrapcp.RoutingModel.enable_deep_serialization ( self)
 Returns the value of the internal enable_deep_serialization_ parameter.

Definition at line 5450 of file pywrapcp.py.

◆ End()

ortools.constraint_solver.pywrapcp.RoutingModel.End ( self,
vehicle )
 Returns the variable index of the ending node of a vehicle route.

Definition at line 5649 of file pywrapcp.py.

◆ FastSolveFromAssignmentWithParameters()

ortools.constraint_solver.pywrapcp.RoutingModel.FastSolveFromAssignmentWithParameters ( self,
assignment,
search_parameters,
check_solution_in_cp,
touched = None )
    Improves a given assignment using unchecked local search.
    If check_solution_in_cp is true the final solution will be checked with
    the CP solver.
    As of 11/2023, only works with greedy descent.

Definition at line 5396 of file pywrapcp.py.

◆ GetAllDimensionNames()

ortools.constraint_solver.pywrapcp.RoutingModel.GetAllDimensionNames ( self)
 Outputs the names of all dimensions added to the routing engine.

Definition at line 4778 of file pywrapcp.py.

◆ GetAmortizedLinearCostFactorOfVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.GetAmortizedLinearCostFactorOfVehicles ( self)

Definition at line 5262 of file pywrapcp.py.

◆ GetAmortizedQuadraticCostFactorOfVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.GetAmortizedQuadraticCostFactorOfVehicles ( self)

Definition at line 5265 of file pywrapcp.py.

◆ GetArcCostForClass()

ortools.constraint_solver.pywrapcp.RoutingModel.GetArcCostForClass ( self,
from_index,
to_index,
cost_class_index )
    Returns the cost of the segment between two nodes for a given cost
    class. Input are variable indices of nodes and the cost class.
    Unlike GetArcCostForVehicle(), if cost_class is kNoCost, then the
    returned cost won't necessarily be zero: only some of the components
    of the cost that depend on the cost class will be omited. See the code
    for details.

Definition at line 5750 of file pywrapcp.py.

◆ GetArcCostForFirstSolution()

ortools.constraint_solver.pywrapcp.RoutingModel.GetArcCostForFirstSolution ( self,
from_index,
to_index )
    Returns the cost of the arc in the context of the first solution strategy.
    This is typically a simplification of the actual cost; see the .cc.

Definition at line 5743 of file pywrapcp.py.

◆ GetArcCostForVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.GetArcCostForVehicle ( self,
from_index,
to_index,
vehicle )
    Returns the cost of the transit arc between two nodes for a given vehicle.
    Input are variable indices of node. This returns 0 if vehicle < 0.

Definition at line 5725 of file pywrapcp.py.

◆ GetAutomaticFirstSolutionStrategy()

ortools.constraint_solver.pywrapcp.RoutingModel.GetAutomaticFirstSolutionStrategy ( self)
 Returns the automatic first solution strategy selected.

Definition at line 5907 of file pywrapcp.py.

◆ GetCostClassesCount()

ortools.constraint_solver.pywrapcp.RoutingModel.GetCostClassesCount ( self)
 Returns the number of different cost classes in the model.

Definition at line 5772 of file pywrapcp.py.

◆ GetCostClassIndexOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.GetCostClassIndexOfVehicle ( self,
vehicle )
 Get the cost class index of the given vehicle.

Definition at line 5761 of file pywrapcp.py.

◆ GetDeliveryPositions()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDeliveryPositions ( self,
node_index )
 Returns the pickup and delivery positions where the node is a delivery.

Definition at line 4993 of file pywrapcp.py.

◆ GetDepot()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDepot ( self)
    Returns the variable index of the first starting or ending node of all
    routes. If all routes start  and end at the same node (single depot), this
    is the node returned.

Definition at line 5183 of file pywrapcp.py.

◆ GetDimensionOrDie()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensionOrDie ( self,
dimension_name )
 Returns a dimension from its name. Dies if the dimension does not exist.

Definition at line 4828 of file pywrapcp.py.

◆ GetDimensionResourceGroupIndex()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensionResourceGroupIndex ( self,
dimension )
    Returns the index of the resource group attached to the dimension.
    DCHECKS that there's exactly one resource group for this dimension.

Definition at line 4862 of file pywrapcp.py.

◆ GetDimensionResourceGroupIndices()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensionResourceGroupIndices ( self,
dimension )
    Returns the indices of resource groups for this dimension. This method can
    only be called after the model has been closed.

Definition at line 4855 of file pywrapcp.py.

◆ GetDimensions()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensions ( self)
 Returns all dimensions of the model.

Definition at line 4782 of file pywrapcp.py.

◆ GetDimensionsWithGlobalCumulOptimizers()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensionsWithGlobalCumulOptimizers ( self)
 Returns the dimensions which have [global|local]_dimension_optimizers_.

Definition at line 4794 of file pywrapcp.py.

◆ GetDimensionsWithLocalCumulOptimizers()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensionsWithLocalCumulOptimizers ( self)

Definition at line 4798 of file pywrapcp.py.

◆ GetDimensionsWithSoftOrSpanCosts()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDimensionsWithSoftOrSpanCosts ( self)
 Returns dimensions with soft or vehicle span costs.

Definition at line 4786 of file pywrapcp.py.

◆ GetDisjunctionIndices()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDisjunctionIndices ( self,
index )
 Returns the indices of the disjunctions to which an index belongs.

Definition at line 4890 of file pywrapcp.py.

◆ GetDisjunctionMaxCardinality()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDisjunctionMaxCardinality ( self,
index )
    Returns the maximum number of possible active nodes of the node
    disjunction of index 'index'.

Definition at line 4898 of file pywrapcp.py.

◆ GetDisjunctionPenalty()

ortools.constraint_solver.pywrapcp.RoutingModel.GetDisjunctionPenalty ( self,
index )
 Returns the penalty of the node disjunction of index 'index'.

Definition at line 4894 of file pywrapcp.py.

◆ GetFixedCostOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.GetFixedCostOfVehicle ( self,
vehicle )
    Returns the route fixed cost taken into account if the route of the
    vehicle is not empty, aka there's at least one node on the route other
    than the first and last nodes.

Definition at line 5227 of file pywrapcp.py.

◆ GetHardTypeIncompatibilitiesOfType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetHardTypeIncompatibilitiesOfType ( self,
type )
 Returns visit types incompatible with a given type.

Definition at line 5083 of file pywrapcp.py.

◆ GetHomogeneousCost()

ortools.constraint_solver.pywrapcp.RoutingModel.GetHomogeneousCost ( self,
from_index,
to_index )
    Returns the cost of the segment between two nodes supposing all vehicle
    costs are the same (returns the cost for the first vehicle otherwise).

Definition at line 5736 of file pywrapcp.py.

◆ GetMaximumNumberOfActiveVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMaximumNumberOfActiveVehicles ( self)
 Returns the maximum number of active vehicles.

Definition at line 5200 of file pywrapcp.py.

◆ GetMutableCPInterrupt()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableCPInterrupt ( self)
 Returns the atomic<bool> to stop the CP solver.

Definition at line 5874 of file pywrapcp.py.

◆ GetMutableCPSatInterrupt()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableCPSatInterrupt ( self)
 Returns the atomic<bool> to stop the CP-SAT solver.

Definition at line 5870 of file pywrapcp.py.

◆ GetMutableDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableDimension ( self,
dimension_name )
    Returns a dimension from its name. Returns nullptr if the dimension does
    not exist.

Definition at line 4832 of file pywrapcp.py.

◆ GetMutableGlobalCumulLPOptimizer()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableGlobalCumulLPOptimizer ( self,
dimension )
    Returns the global/local dimension cumul optimizer for a given dimension,
    or nullptr if there is none.

Definition at line 4808 of file pywrapcp.py.

◆ GetMutableGlobalCumulMPOptimizer()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableGlobalCumulMPOptimizer ( self,
dimension )

Definition at line 4815 of file pywrapcp.py.

◆ GetMutableLocalCumulLPOptimizer()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableLocalCumulLPOptimizer ( self,
dimension )

Definition at line 4818 of file pywrapcp.py.

◆ GetMutableLocalCumulMPOptimizer()

ortools.constraint_solver.pywrapcp.RoutingModel.GetMutableLocalCumulMPOptimizer ( self,
dimension )

Definition at line 4821 of file pywrapcp.py.

◆ GetNonZeroCostClassesCount()

ortools.constraint_solver.pywrapcp.RoutingModel.GetNonZeroCostClassesCount ( self)
 Ditto, minus the 'always zero', built-in cost class.

Definition at line 5776 of file pywrapcp.py.

◆ GetNumberOfDecisionsInFirstSolution()

ortools.constraint_solver.pywrapcp.RoutingModel.GetNumberOfDecisionsInFirstSolution ( self,
search_parameters )
    Returns statistics on first solution search, number of decisions sent to
    filters, number of decisions rejected by filters.

Definition at line 5897 of file pywrapcp.py.

◆ GetNumberOfDisjunctions()

ortools.constraint_solver.pywrapcp.RoutingModel.GetNumberOfDisjunctions ( self)
 Returns the number of node disjunctions in the model.

Definition at line 4905 of file pywrapcp.py.

◆ GetNumberOfRejectsInFirstSolution()

ortools.constraint_solver.pywrapcp.RoutingModel.GetNumberOfRejectsInFirstSolution ( self,
search_parameters )

Definition at line 5904 of file pywrapcp.py.

◆ GetNumberOfVisitTypes()

ortools.constraint_solver.pywrapcp.RoutingModel.GetNumberOfVisitTypes ( self)

Definition at line 5068 of file pywrapcp.py.

◆ GetNumOfSingletonNodes()

ortools.constraint_solver.pywrapcp.RoutingModel.GetNumOfSingletonNodes ( self)
    Returns the number of non-start/end nodes which do not appear in a
    pickup/delivery pair.

Definition at line 5017 of file pywrapcp.py.

◆ GetOrCreateNodeNeighborsByCostClass()

ortools.constraint_solver.pywrapcp.RoutingModel.GetOrCreateNodeNeighborsByCostClass ( self,
* args )
    *Overload 1:*
    Returns neighbors of all nodes for every cost class. The result is cached
    and is computed once. The number of neighbors considered is based on a
    ratio of non-vehicle nodes, specified by neighbors_ratio, with a minimum
    of min-neighbors node considered.

    |

    *Overload 2:*
    Returns parameters.num_neighbors neighbors of all nodes for every cost
    class. The result is cached and is computed once.

    |

    *Overload 3:*
    Returns parameters.num_neighbors neighbors of all nodes for every cost
    class. The result is cached and is computed once.

Definition at line 5610 of file pywrapcp.py.

◆ GetPairIndicesOfType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetPairIndicesOfType ( self,
type )

Definition at line 5054 of file pywrapcp.py.

◆ GetPathsMetadata()

ortools.constraint_solver.pywrapcp.RoutingModel.GetPathsMetadata ( self)

Definition at line 5957 of file pywrapcp.py.

◆ GetPerfectBinaryDisjunctions()

ortools.constraint_solver.pywrapcp.RoutingModel.GetPerfectBinaryDisjunctions ( self)
    Returns the list of all perfect binary disjunctions, as pairs of variable
    indices: a disjunction is "perfect" when its variables do not appear in
    any other disjunction. Each pair is sorted (lowest variable index first),
    and the output vector is also sorted (lowest pairs first).

Definition at line 4923 of file pywrapcp.py.

◆ GetPickupAndDeliveryPolicyOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.GetPickupAndDeliveryPolicyOfVehicle ( self,
vehicle )

Definition at line 5014 of file pywrapcp.py.

◆ GetPickupPositions()

ortools.constraint_solver.pywrapcp.RoutingModel.GetPickupPositions ( self,
node_index )
 Returns the pickup and delivery positions where the node is a pickup.

Definition at line 4989 of file pywrapcp.py.

◆ GetPrimaryConstrainedDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.GetPrimaryConstrainedDimension ( self)
 Get the primary constrained dimension, or an empty string if it is unset.

Definition at line 4848 of file pywrapcp.py.

◆ GetRequiredTypeAlternativesWhenAddingType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetRequiredTypeAlternativesWhenAddingType ( self,
type )
 Returns the set of requirement alternatives when adding the given type.

Definition at line 5141 of file pywrapcp.py.

◆ GetRequiredTypeAlternativesWhenRemovingType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetRequiredTypeAlternativesWhenRemovingType ( self,
type )
 Returns the set of requirement alternatives when removing the given type.

Definition at line 5145 of file pywrapcp.py.

◆ GetResourceGroup()

ortools.constraint_solver.pywrapcp.RoutingModel.GetResourceGroup ( self,
rg_index )

Definition at line 4852 of file pywrapcp.py.

◆ GetSameVehicleIndicesOfIndex()

ortools.constraint_solver.pywrapcp.RoutingModel.GetSameVehicleIndicesOfIndex ( self,
node )
 Returns variable indices of nodes constrained to be on the same route.

Definition at line 5794 of file pywrapcp.py.

◆ GetSameVehicleRequiredTypeAlternativesOfType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetSameVehicleRequiredTypeAlternativesOfType ( self,
type )
    Returns the set of same-vehicle requirement alternatives for the given
    type.

Definition at line 5134 of file pywrapcp.py.

◆ GetSingleNodesOfType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetSingleNodesOfType ( self,
type )

Definition at line 5051 of file pywrapcp.py.

◆ GetTemporalTypeIncompatibilitiesOfType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetTemporalTypeIncompatibilitiesOfType ( self,
type )

Definition at line 5087 of file pywrapcp.py.

◆ GetUnaryDimensions()

ortools.constraint_solver.pywrapcp.RoutingModel.GetUnaryDimensions ( self)
 Returns dimensions for which all transit evaluators are unary.

Definition at line 4790 of file pywrapcp.py.

◆ GetVehicleClassesCount()

ortools.constraint_solver.pywrapcp.RoutingModel.GetVehicleClassesCount ( self)
 Returns the number of different vehicle classes in the model.

Definition at line 5790 of file pywrapcp.py.

◆ GetVehicleClassIndexOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.GetVehicleClassIndexOfVehicle ( self,
vehicle )

Definition at line 5780 of file pywrapcp.py.

◆ GetVehicleOfClass()

ortools.constraint_solver.pywrapcp.RoutingModel.GetVehicleOfClass ( self,
vehicle_class )
    Returns a vehicle of the given vehicle class, and -1 if there are no
    vehicles for this class.

Definition at line 5783 of file pywrapcp.py.

◆ GetVehicleTypeContainer()

ortools.constraint_solver.pywrapcp.RoutingModel.GetVehicleTypeContainer ( self)

Definition at line 5798 of file pywrapcp.py.

◆ GetVisitType()

ortools.constraint_solver.pywrapcp.RoutingModel.GetVisitType ( self,
index )

Definition at line 5048 of file pywrapcp.py.

◆ GetVisitTypePolicy()

ortools.constraint_solver.pywrapcp.RoutingModel.GetVisitTypePolicy ( self,
index )

Definition at line 5057 of file pywrapcp.py.

◆ HasDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.HasDimension ( self,
dimension_name )
 Returns true if a dimension exists for a given dimension name.

Definition at line 4824 of file pywrapcp.py.

◆ HasGlobalCumulOptimizer()

ortools.constraint_solver.pywrapcp.RoutingModel.HasGlobalCumulOptimizer ( self,
dimension )
 Returns whether the given dimension has global/local cumul optimizers.

Definition at line 4801 of file pywrapcp.py.

◆ HasHardTypeIncompatibilities()

ortools.constraint_solver.pywrapcp.RoutingModel.HasHardTypeIncompatibilities ( self)
    Returns true iff any hard (resp. temporal) type incompatibilities have
    been added to the model.

Definition at line 5090 of file pywrapcp.py.

◆ HasLocalCumulOptimizer()

ortools.constraint_solver.pywrapcp.RoutingModel.HasLocalCumulOptimizer ( self,
dimension )

Definition at line 4805 of file pywrapcp.py.

◆ HasMandatoryDisjunctions()

ortools.constraint_solver.pywrapcp.RoutingModel.HasMandatoryDisjunctions ( self)
    Returns true if the model contains mandatory disjunctions (ones with
    kNoPenalty as penalty).

Definition at line 4909 of file pywrapcp.py.

◆ HasMaxCardinalityConstrainedDisjunctions()

ortools.constraint_solver.pywrapcp.RoutingModel.HasMaxCardinalityConstrainedDisjunctions ( self)
    Returns true if the model contains at least one disjunction which is
    constrained by its max_cardinality.

Definition at line 4916 of file pywrapcp.py.

◆ HasSameVehicleTypeRequirements()

ortools.constraint_solver.pywrapcp.RoutingModel.HasSameVehicleTypeRequirements ( self)
    Returns true iff any same-route (resp. temporal) type requirements have
    been added to the model.

Definition at line 5149 of file pywrapcp.py.

◆ HasTemporalTypeIncompatibilities()

ortools.constraint_solver.pywrapcp.RoutingModel.HasTemporalTypeIncompatibilities ( self)

Definition at line 5097 of file pywrapcp.py.

◆ HasTemporalTypeRequirements()

ortools.constraint_solver.pywrapcp.RoutingModel.HasTemporalTypeRequirements ( self)

Definition at line 5156 of file pywrapcp.py.

◆ HasTypeRegulations()

ortools.constraint_solver.pywrapcp.RoutingModel.HasTypeRegulations ( self)
    Returns true iff the model has any incompatibilities or requirements set
    on node types.

Definition at line 5159 of file pywrapcp.py.

◆ HasVehicleWithCostClassIndex()

ortools.constraint_solver.pywrapcp.RoutingModel.HasVehicleWithCostClassIndex ( self,
cost_class_index )
    Returns true iff the model contains a vehicle with the given
    cost_class_index.

Definition at line 5765 of file pywrapcp.py.

◆ IgnoreDisjunctionsAlreadyForcedToZero()

ortools.constraint_solver.pywrapcp.RoutingModel.IgnoreDisjunctionsAlreadyForcedToZero ( self)
    SPECIAL: Makes the solver ignore all the disjunctions whose active
    variables are all trivially zero (i.e. Max() == 0), by setting their
    max_cardinality to 0.
    This can be useful when using the BaseBinaryDisjunctionNeighborhood
    operators, in the context of arc-based routing.

Definition at line 4932 of file pywrapcp.py.

◆ IsDelivery()

ortools.constraint_solver.pywrapcp.RoutingModel.IsDelivery ( self,
node_index )

Definition at line 5001 of file pywrapcp.py.

◆ IsEnd()

ortools.constraint_solver.pywrapcp.RoutingModel.IsEnd ( self,
index )
 Returns true if 'index' represents the last node of a route.

Definition at line 5657 of file pywrapcp.py.

◆ IsMatchingModel()

ortools.constraint_solver.pywrapcp.RoutingModel.IsMatchingModel ( self)
 Returns true if a vehicle/node matching problem is detected.

Definition at line 5911 of file pywrapcp.py.

◆ IsPickup()

ortools.constraint_solver.pywrapcp.RoutingModel.IsPickup ( self,
node_index )
 Returns whether the node is a pickup (resp. delivery).

Definition at line 4997 of file pywrapcp.py.

◆ IsStart()

ortools.constraint_solver.pywrapcp.RoutingModel.IsStart ( self,
index )
 Returns true if 'index' represents the first node of a route.

Definition at line 5653 of file pywrapcp.py.

◆ IsVehicleAllowedForIndex()

ortools.constraint_solver.pywrapcp.RoutingModel.IsVehicleAllowedForIndex ( self,
vehicle,
index )
 Returns true if a vehicle is allowed to visit a given node.

Definition at line 4959 of file pywrapcp.py.

◆ IsVehicleUsed()

ortools.constraint_solver.pywrapcp.RoutingModel.IsVehicleUsed ( self,
assignment,
vehicle )
 Returns true if the route of 'vehicle' is non empty in 'assignment'.

Definition at line 5676 of file pywrapcp.py.

◆ IsVehicleUsedWhenEmpty()

ortools.constraint_solver.pywrapcp.RoutingModel.IsVehicleUsedWhenEmpty ( self,
vehicle )

Definition at line 5271 of file pywrapcp.py.

◆ MakeGuidedSlackFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.MakeGuidedSlackFinalizer ( self,
dimension,
initializer )
    The next few members are in the public section only for testing purposes.

    MakeGuidedSlackFinalizer creates a DecisionBuilder for the slacks of a
    dimension using a callback to choose which values to start with.
    The finalizer works only when all next variables in the model have
    been fixed. It has the following two characteristics:
    1. It follows the routes defined by the nexts variables when choosing a
       variable to make a decision on.
    2. When it comes to choose a value for the slack of node i, the decision
       builder first calls the callback with argument i, and supposingly the
       returned value is x it creates decisions slack[i] = x, slack[i] = x +
       1, slack[i] = x - 1, slack[i] = x + 2, etc.

Definition at line 5922 of file pywrapcp.py.

◆ MakeSelfDependentDimensionFinalizer()

ortools.constraint_solver.pywrapcp.RoutingModel.MakeSelfDependentDimensionFinalizer ( self,
dimension )
    MakeSelfDependentDimensionFinalizer is a finalizer for the slacks of a
    self-dependent dimension. It makes an extensive use of the caches of the
    state dependent transits.
    In detail, MakeSelfDependentDimensionFinalizer returns a composition of a
    local search decision builder with a greedy descent operator for the cumul
    of the start of each route and a guided slack finalizer. Provided there
    are no time windows and the maximum slacks are large enough, once the
    cumul of the start of route is fixed, the guided finalizer can find
    optimal values of the slacks for the rest of the route in time
    proportional to the length of the route. Therefore the composed finalizer
    generally works in time O(log(t)*n*m), where t is the latest possible
    departute time, n is the number of nodes in the network and m is the
    number of vehicles.

Definition at line 5939 of file pywrapcp.py.

◆ MutablePreAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.MutablePreAssignment ( self)

Definition at line 5489 of file pywrapcp.py.

◆ Next()

ortools.constraint_solver.pywrapcp.RoutingModel.Next ( self,
assignment,
index )
    Assignment inspection
    Returns the variable index of the node directly after the node
    corresponding to 'index' in 'assignment'.

Definition at line 5668 of file pywrapcp.py.

◆ NextVar()

ortools.constraint_solver.pywrapcp.RoutingModel.NextVar ( self,
index )
    Returns the next variable of the node corresponding to index. Note that
    NextVar(index) == index is equivalent to ActiveVar(index) == 0.

Definition at line 5680 of file pywrapcp.py.

◆ nodes()

ortools.constraint_solver.pywrapcp.RoutingModel.nodes ( self)
    Sizes and indices
    Returns the number of nodes in the model.

Definition at line 5882 of file pywrapcp.py.

◆ objective_lower_bound()

ortools.constraint_solver.pywrapcp.RoutingModel.objective_lower_bound ( self)
    Returns the current lower bound found by internal solvers during the
    search.

Definition at line 5439 of file pywrapcp.py.

◆ PackCumulsOfOptimizerDimensionsFromAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.PackCumulsOfOptimizerDimensionsFromAssignment ( self,
original_assignment,
duration_limit,
time_limit_was_reached = None )
    For every dimension in the model with an optimizer in
    local/global_dimension_optimizers_, this method tries to pack the cumul
    values of the dimension, such that:
    - The cumul costs (span costs, soft lower and upper bound costs, etc) are
      minimized.
    - The cumuls of the ends of the routes are minimized for this given
      minimal cumul cost.
    - Given these minimal end cumuls, the route start cumuls are maximized.
    Returns the assignment resulting from allocating these packed cumuls with
    the solver, and nullptr if these cumuls could not be set by the solver.

Definition at line 5595 of file pywrapcp.py.

◆ PreAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.PreAssignment ( self)
    Returns an assignment used to fix some of the variables of the problem.
    In practice, this assignment locks partial routes of the problem. This
    can be used in the context of locking the parts of the routes which have
    already been driven in online routing problems.

Definition at line 5480 of file pywrapcp.py.

◆ ReadAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.ReadAssignment ( self,
file_name )
    Reads an assignment from a file and returns the current solution.
    Returns nullptr if the file cannot be opened or if the assignment is not
    valid.

Definition at line 5500 of file pywrapcp.py.

◆ ReadAssignmentFromRoutes()

ortools.constraint_solver.pywrapcp.RoutingModel.ReadAssignmentFromRoutes ( self,
routes,
ignore_inactive_indices )
    Restores the routes as the current solution. Returns nullptr if the
    solution cannot be restored (routes do not contain a valid solution). Note
    that calling this method will run the solver to assign values to the
    dimension variables; this may take considerable amount of time, especially
    when using dimensions with slack.

Definition at line 5515 of file pywrapcp.py.

◆ RegisterTransitCallback()

ortools.constraint_solver.pywrapcp.RoutingModel.RegisterTransitCallback ( self,
* args )

Definition at line 4691 of file pywrapcp.py.

◆ RegisterTransitMatrix()

ortools.constraint_solver.pywrapcp.RoutingModel.RegisterTransitMatrix ( self,
values )

Definition at line 4688 of file pywrapcp.py.

◆ RegisterUnaryTransitCallback()

ortools.constraint_solver.pywrapcp.RoutingModel.RegisterUnaryTransitCallback ( self,
* args )

Definition at line 4685 of file pywrapcp.py.

◆ RegisterUnaryTransitVector()

ortools.constraint_solver.pywrapcp.RoutingModel.RegisterUnaryTransitVector ( self,
values )
    Registers 'callback' and returns its index.
    The sign parameter allows to notify the solver that the callback only
    return values of the given sign. This can help the solver, but passing
    an incorrect sign may crash in non-opt compilation mode, and yield
    incorrect results in opt.

Definition at line 4675 of file pywrapcp.py.

◆ RemainingTime()

ortools.constraint_solver.pywrapcp.RoutingModel.RemainingTime ( self)
 Returns the time left in the search limit.

Definition at line 5858 of file pywrapcp.py.

◆ ResourceVar()

ortools.constraint_solver.pywrapcp.RoutingModel.ResourceVar ( self,
vehicle,
resource_group )
    Returns the resource variable for the given vehicle index in the given
    resource group. If a vehicle doesn't require a resource from the
    corresponding resource group, then ResourceVar(v, r_g) == -1.

Definition at line 5713 of file pywrapcp.py.

◆ RestoreAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.RestoreAssignment ( self,
solution )
    Restores an assignment as a solution in the routing model and returns the
    new solution. Returns nullptr if the assignment is not valid.

Definition at line 5508 of file pywrapcp.py.

◆ RoutesToAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.RoutesToAssignment ( self,
routes,
ignore_inactive_indices,
close_routes,
assignment )
    Fills an assignment from a specification of the routes of the
    vehicles. The routes are specified as lists of variable indices that
    appear on the routes of the vehicles. The indices of the outer vector in
    'routes' correspond to vehicles IDs, the inner vector contains the
    variable indices on the routes for the given vehicle. The inner vectors
    must not contain the start and end indices, as these are determined by the
    routing model.  Sets the value of NextVars in the assignment, adding the
    variables to the assignment if necessary. The method does not touch other
    variables in the assignment. The method can only be called after the model
    is closed.  With ignore_inactive_indices set to false, this method will
    fail (return nullptr) in case some of the route contain indices that are
    deactivated in the model; when set to true, these indices will be
    skipped.  Returns true if routes were successfully
    loaded. However, such assignment still might not be a valid
    solution to the routing problem due to more complex constraints;
    it is advisible to call solver()->CheckSolution() afterwards.

Definition at line 5525 of file pywrapcp.py.

◆ SetAllowedVehiclesForIndex()

ortools.constraint_solver.pywrapcp.RoutingModel.SetAllowedVehiclesForIndex ( self,
vehicles,
index )
    Sets the vehicles which can visit a given node. If the node is in a
    disjunction, this will not prevent it from being unperformed.
    Specifying an empty vector of vehicles has no effect (all vehicles
    will be allowed to visit the node).

Definition at line 4950 of file pywrapcp.py.

◆ SetAmortizedCostFactorsOfAllVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.SetAmortizedCostFactorsOfAllVehicles ( self,
linear_cost_factor,
quadratic_cost_factor )
    The following methods set the linear and quadratic cost factors of
    vehicles (must be positive values). The default value of these parameters
    is zero for all vehicles.

    When set, the cost_ of the model will contain terms aiming at reducing the
    number of vehicles used in the model, by adding the following to the
    objective for every vehicle v:
    INDICATOR(v used in the model) *
      [linear_cost_factor_of_vehicle_[v]
       - quadratic_cost_factor_of_vehicle_[v]*(square of length of route v)]
    i.e. for every used vehicle, we add the linear factor as fixed cost, and
    subtract the square of the route length multiplied by the quadratic
    factor. This second term aims at making the routes as dense as possible.

    Sets the linear and quadratic cost factor of all vehicles.

Definition at line 5238 of file pywrapcp.py.

◆ SetAmortizedCostFactorsOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.SetAmortizedCostFactorsOfVehicle ( self,
linear_cost_factor,
quadratic_cost_factor,
vehicle )
 Sets the linear and quadratic cost factor of the given vehicle.

Definition at line 5258 of file pywrapcp.py.

◆ SetArcCostEvaluatorOfAllVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.SetArcCostEvaluatorOfAllVehicles ( self,
evaluator_index )
    Sets the cost function of the model such that the cost of a segment of a
    route between node 'from' and 'to' is evaluator(from, to), whatever the
    route or vehicle performing the route.

Definition at line 5204 of file pywrapcp.py.

◆ SetArcCostEvaluatorOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.SetArcCostEvaluatorOfVehicle ( self,
evaluator_index,
vehicle )
 Sets the cost function for a given vehicle route.

Definition at line 5212 of file pywrapcp.py.

◆ SetAssignmentFromOtherModelAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.SetAssignmentFromOtherModelAssignment ( self,
target_assignment,
source_model,
source_assignment )
    Given a "source_model" and its "source_assignment", resets
    "target_assignment" with the IntVar variables (nexts_, and vehicle_vars_
    if costs aren't homogeneous across vehicles) of "this" model, with the
    values set according to those in "other_assignment".
    The objective_element of target_assignment is set to this->cost_.

Definition at line 5419 of file pywrapcp.py.

◆ SetFirstSolutionEvaluator()

ortools.constraint_solver.pywrapcp.RoutingModel.SetFirstSolutionEvaluator ( self,
evaluator )
    Gets/sets the evaluator used during the search. Only relevant when
    RoutingSearchParameters.first_solution_strategy = EVALUATOR_STRATEGY.
    Takes ownership of evaluator.

Definition at line 5274 of file pywrapcp.py.

◆ SetFixedCostOfAllVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.SetFixedCostOfAllVehicles ( self,
cost )
    Sets the fixed cost of all vehicle routes. It is equivalent to calling
    SetFixedCostOfVehicle on all vehicle routes.

Definition at line 5216 of file pywrapcp.py.

◆ SetFixedCostOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.SetFixedCostOfVehicle ( self,
cost,
vehicle )
 Sets the fixed cost of one vehicle route.

Definition at line 5223 of file pywrapcp.py.

◆ SetMaximumNumberOfActiveVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.SetMaximumNumberOfActiveVehicles ( self,
max_active_vehicles )
    Constrains the maximum number of active vehicles, aka the number of
    vehicles which do not have an empty route. For instance, this can be used
    to limit the number of routes in the case where there are fewer drivers
    than vehicles and that the fleet of vehicle is heterogeneous.

Definition at line 5191 of file pywrapcp.py.

◆ SetPathEnergyCostOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.SetPathEnergyCostOfVehicle ( self,
force,
distance,
unit_cost,
vehicle )

Definition at line 5235 of file pywrapcp.py.

◆ SetPickupAndDeliveryPolicyOfAllVehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.SetPickupAndDeliveryPolicyOfAllVehicles ( self,
policy )
    Sets the Pickup and delivery policy of all vehicles. It is equivalent to
    calling SetPickupAndDeliveryPolicyOfVehicle on all vehicles.

Definition at line 5004 of file pywrapcp.py.

◆ SetPickupAndDeliveryPolicyOfVehicle()

ortools.constraint_solver.pywrapcp.RoutingModel.SetPickupAndDeliveryPolicyOfVehicle ( self,
policy,
vehicle )

Definition at line 5011 of file pywrapcp.py.

◆ SetPrimaryConstrainedDimension()

ortools.constraint_solver.pywrapcp.RoutingModel.SetPrimaryConstrainedDimension ( self,
dimension_name )
    Set the given dimension as "primary constrained". As of August 2013, this
    is only used by ArcIsMoreConstrainedThanArc().
    "dimension" must be the name of an existing dimension, or be empty, in
    which case there will not be a primary dimension after this call.

Definition at line 4839 of file pywrapcp.py.

◆ SetVehicleUsedWhenEmpty()

ortools.constraint_solver.pywrapcp.RoutingModel.SetVehicleUsedWhenEmpty ( self,
is_used,
vehicle )

Definition at line 5268 of file pywrapcp.py.

◆ SetVisitType()

ortools.constraint_solver.pywrapcp.RoutingModel.SetVisitType ( self,
index,
type,
type_policy )

Definition at line 5045 of file pywrapcp.py.

◆ Size()

ortools.constraint_solver.pywrapcp.RoutingModel.Size ( self)
 Returns the number of next variables in the model.

Definition at line 5893 of file pywrapcp.py.

◆ Solve()

ortools.constraint_solver.pywrapcp.RoutingModel.Solve ( self,
assignment = None )
    Solves the current routing model; closes the current model.
    This is equivalent to calling
    SolveWithParameters(DefaultRoutingSearchParameters())
    or
    SolveFromAssignmentWithParameters(assignment,
                                      DefaultRoutingSearchParameters()).

Definition at line 5366 of file pywrapcp.py.

◆ SolveFromAssignmentsWithParameters()

ortools.constraint_solver.pywrapcp.RoutingModel.SolveFromAssignmentsWithParameters ( self,
assignments,
search_parameters,
solutions = None )
    Same as above but will try all assignments in order as first solutions
    until one succeeds.

Definition at line 5405 of file pywrapcp.py.

◆ SolveFromAssignmentWithParameters()

ortools.constraint_solver.pywrapcp.RoutingModel.SolveFromAssignmentWithParameters ( self,
assignment,
search_parameters,
solutions = None )
    Same as above, except that if assignment is not null, it will be used as
    the initial solution.

Definition at line 5389 of file pywrapcp.py.

◆ solver()

ortools.constraint_solver.pywrapcp.RoutingModel.solver ( self)
    Returns the underlying constraint solver. Can be used to add extra
    constraints and/or modify search algorithms.

Definition at line 5844 of file pywrapcp.py.

◆ SolveWithIteratedLocalSearch()

ortools.constraint_solver.pywrapcp.RoutingModel.SolveWithIteratedLocalSearch ( self,
search_parameters )
    Solves the current routing model by using an Iterated Local Search
    approach.

Definition at line 5412 of file pywrapcp.py.

◆ SolveWithParameters()

ortools.constraint_solver.pywrapcp.RoutingModel.SolveWithParameters ( self,
search_parameters,
solutions = None )
    Solves the current routing model with the given parameters. If 'solutions'
    is specified, it will contain the k best solutions found during the search
    (from worst to best, including the one returned by this method), where k
    corresponds to the 'number_of_solutions_to_collect' in
    'search_parameters'. Note that the Assignment returned by the method and
    the ones in solutions are owned by the underlying solver and should not be
    deleted.

Definition at line 5377 of file pywrapcp.py.

◆ Start()

ortools.constraint_solver.pywrapcp.RoutingModel.Start ( self,
vehicle )
    Model inspection.
    Returns the variable index of the starting node of a vehicle route.

Definition at line 5642 of file pywrapcp.py.

◆ status()

ortools.constraint_solver.pywrapcp.RoutingModel.status ( self)
 Returns the current status of the routing model.

Definition at line 5446 of file pywrapcp.py.

◆ TimeBuffer()

ortools.constraint_solver.pywrapcp.RoutingModel.TimeBuffer ( self)
 Returns the time buffer to safely return a solution.

Definition at line 5866 of file pywrapcp.py.

◆ TransitCallback()

ortools.constraint_solver.pywrapcp.RoutingModel.TransitCallback ( self,
callback_index )

Definition at line 4694 of file pywrapcp.py.

◆ UnaryTransitCallbackOrNull()

ortools.constraint_solver.pywrapcp.RoutingModel.UnaryTransitCallbackOrNull ( self,
callback_index )

Definition at line 4697 of file pywrapcp.py.

◆ UnperformedPenalty()

ortools.constraint_solver.pywrapcp.RoutingModel.UnperformedPenalty ( self,
var_index )
    Get the "unperformed" penalty of a node. This is only well defined if the
    node is only part of a single Disjunction, and that disjunction has a
    penalty. For forced active nodes returns max int64_t. In all other cases,
    this returns 0.

Definition at line 5166 of file pywrapcp.py.

◆ UnperformedPenaltyOrValue()

ortools.constraint_solver.pywrapcp.RoutingModel.UnperformedPenaltyOrValue ( self,
default_value,
var_index )
    Same as above except that it returns default_value instead of 0 when
    penalty is not well defined (default value is passed as first argument to
    simplify the usage of the method in a callback).

Definition at line 5175 of file pywrapcp.py.

◆ UpdateTimeLimit()

ortools.constraint_solver.pywrapcp.RoutingModel.UpdateTimeLimit ( self,
time_limit )
 Updates the time limit of the search limit.

Definition at line 5862 of file pywrapcp.py.

◆ VehicleIndex()

ortools.constraint_solver.pywrapcp.RoutingModel.VehicleIndex ( self,
index )
    Returns the vehicle of the given start/end index, and -1 if the given
    index is not a vehicle start/end.

Definition at line 5661 of file pywrapcp.py.

◆ VehicleRouteConsideredVar()

ortools.constraint_solver.pywrapcp.RoutingModel.VehicleRouteConsideredVar ( self,
vehicle )
    Returns the variable specifying whether or not the given vehicle route is
    considered for costs and constraints. It will be equal to 1 iff the route
    of the vehicle is not empty OR vehicle_used_when_empty_[vehicle] is true.

Definition at line 5698 of file pywrapcp.py.

◆ vehicles()

ortools.constraint_solver.pywrapcp.RoutingModel.vehicles ( self)
 Returns the number of vehicle routes in the model.

Definition at line 5889 of file pywrapcp.py.

◆ VehicleVar()

ortools.constraint_solver.pywrapcp.RoutingModel.VehicleVar ( self,
index )
    Returns the vehicle variable of the node corresponding to index. Note that
    VehicleVar(index) == -1 is equivalent to ActiveVar(index) == 0.

Definition at line 5706 of file pywrapcp.py.

◆ WriteAssignment()

ortools.constraint_solver.pywrapcp.RoutingModel.WriteAssignment ( self,
file_name )
    Writes the current solution to a file containing an AssignmentProto.
    Returns false if the file cannot be opened or if there is no current
    solution.

Definition at line 5492 of file pywrapcp.py.

Member Data Documentation

◆ ADDED_TYPE_REMOVED_FROM_VEHICLE

ortools.constraint_solver.pywrapcp.RoutingModel.ADDED_TYPE_REMOVED_FROM_VEHICLE = _pywrapcp.RoutingModel_ADDED_TYPE_REMOVED_FROM_VEHICLE
static

Definition at line 5025 of file pywrapcp.py.

◆ kTransitEvaluatorSignNegativeOrZero

ortools.constraint_solver.pywrapcp.RoutingModel.kTransitEvaluatorSignNegativeOrZero = _pywrapcp.RoutingModel_kTransitEvaluatorSignNegativeOrZero
static

Definition at line 4673 of file pywrapcp.py.

◆ kTransitEvaluatorSignPositiveOrZero

ortools.constraint_solver.pywrapcp.RoutingModel.kTransitEvaluatorSignPositiveOrZero = _pywrapcp.RoutingModel_kTransitEvaluatorSignPositiveOrZero
static

Definition at line 4672 of file pywrapcp.py.

◆ kTransitEvaluatorSignUnknown

ortools.constraint_solver.pywrapcp.RoutingModel.kTransitEvaluatorSignUnknown = _pywrapcp.RoutingModel_kTransitEvaluatorSignUnknown
static

Definition at line 4671 of file pywrapcp.py.

◆ PICKUP_AND_DELIVERY_FIFO

ortools.constraint_solver.pywrapcp.RoutingModel.PICKUP_AND_DELIVERY_FIFO = _pywrapcp.RoutingModel_PICKUP_AND_DELIVERY_FIFO
static

Definition at line 4665 of file pywrapcp.py.

◆ PICKUP_AND_DELIVERY_LIFO

ortools.constraint_solver.pywrapcp.RoutingModel.PICKUP_AND_DELIVERY_LIFO = _pywrapcp.RoutingModel_PICKUP_AND_DELIVERY_LIFO
static

Definition at line 4663 of file pywrapcp.py.

◆ PICKUP_AND_DELIVERY_NO_ORDER

ortools.constraint_solver.pywrapcp.RoutingModel.PICKUP_AND_DELIVERY_NO_ORDER = _pywrapcp.RoutingModel_PICKUP_AND_DELIVERY_NO_ORDER
static

Definition at line 4661 of file pywrapcp.py.

◆ ROUTING_FAIL

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_FAIL = _pywrapcp.RoutingModel_ROUTING_FAIL
static

Definition at line 4651 of file pywrapcp.py.

◆ ROUTING_FAIL_TIMEOUT

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_FAIL_TIMEOUT = _pywrapcp.RoutingModel_ROUTING_FAIL_TIMEOUT
static

Definition at line 4653 of file pywrapcp.py.

◆ ROUTING_INFEASIBLE

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_INFEASIBLE = _pywrapcp.RoutingModel_ROUTING_INFEASIBLE
static

Definition at line 4657 of file pywrapcp.py.

◆ ROUTING_INVALID

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_INVALID = _pywrapcp.RoutingModel_ROUTING_INVALID
static

Definition at line 4655 of file pywrapcp.py.

◆ ROUTING_NOT_SOLVED

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_NOT_SOLVED = _pywrapcp.RoutingModel_ROUTING_NOT_SOLVED
static

Definition at line 4641 of file pywrapcp.py.

◆ ROUTING_OPTIMAL

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_OPTIMAL = _pywrapcp.RoutingModel_ROUTING_OPTIMAL
static

Definition at line 4659 of file pywrapcp.py.

◆ ROUTING_PARTIAL_SUCCESS_LOCAL_OPTIMUM_NOT_REACHED

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_PARTIAL_SUCCESS_LOCAL_OPTIMUM_NOT_REACHED = _pywrapcp.RoutingModel_ROUTING_PARTIAL_SUCCESS_LOCAL_OPTIMUM_NOT_REACHED
static

Definition at line 4645 of file pywrapcp.py.

◆ ROUTING_SUCCESS

ortools.constraint_solver.pywrapcp.RoutingModel.ROUTING_SUCCESS = _pywrapcp.RoutingModel_ROUTING_SUCCESS
static

Definition at line 4643 of file pywrapcp.py.

◆ TYPE_ADDED_TO_VEHICLE

ortools.constraint_solver.pywrapcp.RoutingModel.TYPE_ADDED_TO_VEHICLE = _pywrapcp.RoutingModel_TYPE_ADDED_TO_VEHICLE
static

Definition at line 5023 of file pywrapcp.py.

◆ TYPE_ON_VEHICLE_UP_TO_VISIT

ortools.constraint_solver.pywrapcp.RoutingModel.TYPE_ON_VEHICLE_UP_TO_VISIT = _pywrapcp.RoutingModel_TYPE_ON_VEHICLE_UP_TO_VISIT
static

Definition at line 5032 of file pywrapcp.py.

◆ TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED

ortools.constraint_solver.pywrapcp.RoutingModel.TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED = _pywrapcp.RoutingModel_TYPE_SIMULTANEOUSLY_ADDED_AND_REMOVED
static

Definition at line 5037 of file pywrapcp.py.

Property Documentation

◆ thisown

ortools.constraint_solver.pywrapcp.RoutingModel.thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
static

Definition at line 4639 of file pywrapcp.py.


The documentation for this class was generated from the following file: