Classes
class	_NotBooleanVariable

class	_ProductCst

class	_Sum

class	_SumArray

class	_WeightedSum

class	BoundedLinearExpression

class	Constraint

class	CpModel

class	CpSolver

class	CpSolverSolutionCallback

class	IntervalVar

class	IntVar

class	LinearExpr

class	ObjectiveSolutionPrinter

class	VarArrayAndObjectiveSolutionPrinter

class	VarArraySolutionPrinter

Functions
str	display_bounds (Sequence[int] bounds)

str	short_name (cp_model_pb2.CpModelProto model, int i)

str	short_expr_name (cp_model_pb2.CpModelProto model, cp_model_pb2.LinearExpressionProto e)

bool	object_is_a_true_literal (LiteralT literal)

bool	object_is_a_false_literal (LiteralT literal)

Union[Iterable[LiteralT], LiteralT]	expand_generator_or_tuple (Union[Tuple[LiteralT,...], Iterable[LiteralT]] args)

Union[Iterable[LinearExprT], LinearExprT]	expand_generator_or_tuple (Union[Tuple[LinearExprT,...], Iterable[LinearExprT]] args)

	expand_generator_or_tuple (args)

int	evaluate_linear_expr (LinearExprT expression, cp_model_pb2.CpSolverResponse solution)

bool	evaluate_boolean_expression (LiteralT literal, cp_model_pb2.CpSolverResponse solution)

pd.Index	_get_index (_IndexOrSeries obj)

pd.Series	_attribute_series (*Callable[[IntVar], IntegralT] func, _IndexOrSeries values)

pd.Series	_convert_to_integral_series_and_validate_index (Union[IntegralT, pd.Series] value_or_series, pd.Index index)

pd.Series	_convert_to_linear_expr_series_and_validate_index (Union[LinearExprT, pd.Series] value_or_series, pd.Index index)

pd.Series	_convert_to_literal_series_and_validate_index (Union[LiteralT, pd.Series] value_or_series, pd.Index index)

Variables
	Domain = sorted_interval_list.Domain

	INT_MIN = -(2**63)

int	INT_MAX = 2**63 - 1

	INT32_MIN = -(2**31)

int	INT32_MAX = 2**31 - 1

	UNKNOWN = cp_model_pb2.UNKNOWN

	MODEL_INVALID = cp_model_pb2.MODEL_INVALID

	FEASIBLE = cp_model_pb2.FEASIBLE

	INFEASIBLE = cp_model_pb2.INFEASIBLE

	OPTIMAL = cp_model_pb2.OPTIMAL

	CHOOSE_FIRST = cp_model_pb2.DecisionStrategyProto.CHOOSE_FIRST

	CHOOSE_LOWEST_MIN = cp_model_pb2.DecisionStrategyProto.CHOOSE_LOWEST_MIN

	CHOOSE_HIGHEST_MAX = cp_model_pb2.DecisionStrategyProto.CHOOSE_HIGHEST_MAX

	CHOOSE_MIN_DOMAIN_SIZE = cp_model_pb2.DecisionStrategyProto.CHOOSE_MIN_DOMAIN_SIZE

	CHOOSE_MAX_DOMAIN_SIZE = cp_model_pb2.DecisionStrategyProto.CHOOSE_MAX_DOMAIN_SIZE

	SELECT_MIN_VALUE = cp_model_pb2.DecisionStrategyProto.SELECT_MIN_VALUE

	SELECT_MAX_VALUE = cp_model_pb2.DecisionStrategyProto.SELECT_MAX_VALUE

	SELECT_LOWER_HALF = cp_model_pb2.DecisionStrategyProto.SELECT_LOWER_HALF

	SELECT_UPPER_HALF = cp_model_pb2.DecisionStrategyProto.SELECT_UPPER_HALF

	AUTOMATIC_SEARCH = sat_parameters_pb2.SatParameters.AUTOMATIC_SEARCH

	FIXED_SEARCH = sat_parameters_pb2.SatParameters.FIXED_SEARCH

	PORTFOLIO_SEARCH = sat_parameters_pb2.SatParameters.PORTFOLIO_SEARCH

	LP_SEARCH = sat_parameters_pb2.SatParameters.LP_SEARCH

	PSEUDO_COST_SEARCH = sat_parameters_pb2.SatParameters.PSEUDO_COST_SEARCH

tuple	PORTFOLIO_WITH_QUICK_RESTART_SEARCH

	HINT_SEARCH = sat_parameters_pb2.SatParameters.HINT_SEARCH

	PARTIAL_FIXED_SEARCH = sat_parameters_pb2.SatParameters.PARTIAL_FIXED_SEARCH

	RANDOMIZED_SEARCH = sat_parameters_pb2.SatParameters.RANDOMIZED_SEARCH

	IntegralT = Union[numbers.Integral, int]

	NumberT = Union[numbers.Integral, int, numbers.Number, float]

	LiteralT = Union["IntVar", "_NotBooleanVariable", IntegralT, bool]

	BoolVarT = Union["IntVar", "_NotBooleanVariable"]

	VariableT = Union["IntVar", IntegralT]

	LinearExprT = Union["LinearExpr", "IntVar", IntegralT]

	ObjLinearExprT = Union["LinearExpr", "IntVar", NumberT]

	BoundedLinearExprT = Union["BoundedLinearExpression", bool]

	ArcT = Tuple[IntegralT, IntegralT, LiteralT]

	_IndexOrSeries = Union[pd.Index, pd.Series]

Detailed Description

Methods for building and solving CP-SAT models.

The following two sections describe the main
methods for building and solving CP-SAT models.

* [`CpModel`](#cp_model.CpModel): Methods for creating
models, including variables and constraints.
* [`CPSolver`](#cp_model.CpSolver): Methods for solving
a model and evaluating solutions.

The following methods implement callbacks that the
solver calls each time it finds a new solution.

* [`CpSolverSolutionCallback`](#cp_model.CpSolverSolutionCallback):
  A general method for implementing callbacks.
* [`ObjectiveSolutionPrinter`](#cp_model.ObjectiveSolutionPrinter):
  Print objective values and elapsed time for intermediate solutions.
* [`VarArraySolutionPrinter`](#cp_model.VarArraySolutionPrinter):
  Print intermediate solutions (variable values, time).
* [`VarArrayAndObjectiveSolutionPrinter`]
      (#cp_model.VarArrayAndObjectiveSolutionPrinter):
  Print both intermediate solutions and objective values.

Additional methods for solving CP-SAT models:

* [`Constraint`](#cp_model.Constraint): A few utility methods for modifying
  constraints created by `CpModel`.
* [`LinearExpr`](#lineacp_model.LinearExpr): Methods for creating constraints
  and the objective from large arrays of coefficients.

Other methods and functions listed are primarily used for developing OR-Tools,
rather than for solving specific optimization problems.

Function Documentation

◆ _attribute_series()

pd.Series ortools.sat.python.cp_model._attribute_series	(	*Callable[[IntVar], IntegralT]	func,
		_IndexOrSeries	values )

protected

Returns the attributes of `values`.

Args:
  func: The function to call for getting the attribute data.
  values: The values that the function will be applied (element-wise) to.

Returns:
  pd.Series: The attribute values.

Definition at line 3648 of file cp_model.py.

◆ _convert_to_integral_series_and_validate_index()

pd.Series ortools.sat.python.cp_model._convert_to_integral_series_and_validate_index	(	Union[IntegralT, pd.Series]	value_or_series,
		pd.Index	index )

protected

Returns a pd.Series of the given index with the corresponding values.

Args:
  value_or_series: the values to be converted (if applicable).
  index: the index of the resulting pd.Series.

Returns:
  pd.Series: The set of values with the given index.

Raises:
  TypeError: If the type of `value_or_series` is not recognized.
  ValueError: If the index does not match.

Definition at line 3668 of file cp_model.py.

◆ _convert_to_linear_expr_series_and_validate_index()

pd.Series ortools.sat.python.cp_model._convert_to_linear_expr_series_and_validate_index	(	Union[LinearExprT, pd.Series]	value_or_series,
		pd.Index	index )

protected

Returns a pd.Series of the given index with the corresponding values.

Args:
  value_or_series: the values to be converted (if applicable).
  index: the index of the resulting pd.Series.

Returns:
  pd.Series: The set of values with the given index.

Raises:
  TypeError: If the type of `value_or_series` is not recognized.
  ValueError: If the index does not match.

Definition at line 3696 of file cp_model.py.

◆ _convert_to_literal_series_and_validate_index()

pd.Series ortools.sat.python.cp_model._convert_to_literal_series_and_validate_index	(	Union[LiteralT, pd.Series]	value_or_series,
		pd.Index	index )

protected

Returns a pd.Series of the given index with the corresponding values.

Args:
  value_or_series: the values to be converted (if applicable).
  index: the index of the resulting pd.Series.

Returns:
  pd.Series: The set of values with the given index.

Raises:
  TypeError: If the type of `value_or_series` is not recognized.
  ValueError: If the index does not match.

Definition at line 3724 of file cp_model.py.

◆ _get_index()

pd.Index ortools.sat.python.cp_model._get_index ( _IndexOrSeries obj )

protected

Returns the indices of `obj` as a `pd.Index`.

Definition at line 3641 of file cp_model.py.

◆ display_bounds()

str ortools.sat.python.cp_model.display_bounds ( Sequence[int] bounds )

Displays a flattened list of intervals.

Definition at line 136 of file cp_model.py.

◆ evaluate_boolean_expression()

bool ortools.sat.python.cp_model.evaluate_boolean_expression	(	LiteralT	literal,
		cp_model_pb2.CpSolverResponse	solution )

Evaluate a boolean expression against a solution.

Definition at line 3071 of file cp_model.py.

◆ evaluate_linear_expr()

int ortools.sat.python.cp_model.evaluate_linear_expr	(	LinearExprT	expression,
		cp_model_pb2.CpSolverResponse	solution )

Evaluate a linear expression against a solution.

Definition at line 3033 of file cp_model.py.

◆ expand_generator_or_tuple() [1/3]

ortools.sat.python.cp_model.expand_generator_or_tuple ( args )

Definition at line 3023 of file cp_model.py.

◆ expand_generator_or_tuple() [2/3]

Union[Iterable[LinearExprT], LinearExprT] ortools.sat.python.cp_model.expand_generator_or_tuple ( Union[Tuple[LinearExprT, ...], Iterable[LinearExprT]] args )

Definition at line 3017 of file cp_model.py.

◆ expand_generator_or_tuple() [3/3]

Union[Iterable[LiteralT], LiteralT] ortools.sat.python.cp_model.expand_generator_or_tuple ( Union[Tuple[LiteralT, ...], Iterable[LiteralT]] args )

Definition at line 3010 of file cp_model.py.

◆ object_is_a_false_literal()

bool ortools.sat.python.cp_model.object_is_a_false_literal ( LiteralT literal )

Checks if literal is either False, or a Boolean literals fixed to False.

Definition at line 1283 of file cp_model.py.

◆ object_is_a_true_literal()

bool ortools.sat.python.cp_model.object_is_a_true_literal ( LiteralT literal )

Checks if literal is either True, or a Boolean literals fixed to True.

Definition at line 1270 of file cp_model.py.

◆ short_expr_name()

str ortools.sat.python.cp_model.short_expr_name	(	cp_model_pb2.CpModelProto	model,
		cp_model_pb2.LinearExpressionProto	e )

Pretty-print LinearExpressionProto instances.

Definition at line 162 of file cp_model.py.

◆ short_name()

str ortools.sat.python.cp_model.short_name	(	cp_model_pb2.CpModelProto	model,
		int	i )

Returns a short name of an integer variable, or its negation.

Definition at line 149 of file cp_model.py.

Variable Documentation

◆ _IndexOrSeries

ortools.sat.python.cp_model._IndexOrSeries = Union[pd.Index, pd.Series]

protected

Definition at line 133 of file cp_model.py.

◆ ArcT

ortools.sat.python.cp_model.ArcT = Tuple[IntegralT, IntegralT, LiteralT]

Definition at line 132 of file cp_model.py.

◆ AUTOMATIC_SEARCH

ortools.sat.python.cp_model.AUTOMATIC_SEARCH = sat_parameters_pb2.SatParameters.AUTOMATIC_SEARCH

Definition at line 109 of file cp_model.py.

◆ BoolVarT

ortools.sat.python.cp_model.BoolVarT = Union["IntVar", "_NotBooleanVariable"]

Definition at line 127 of file cp_model.py.

◆ BoundedLinearExprT

ortools.sat.python.cp_model.BoundedLinearExprT = Union["BoundedLinearExpression", bool]

Definition at line 131 of file cp_model.py.

◆ CHOOSE_FIRST

ortools.sat.python.cp_model.CHOOSE_FIRST = cp_model_pb2.DecisionStrategyProto.CHOOSE_FIRST

Definition at line 96 of file cp_model.py.

◆ CHOOSE_HIGHEST_MAX

ortools.sat.python.cp_model.CHOOSE_HIGHEST_MAX = cp_model_pb2.DecisionStrategyProto.CHOOSE_HIGHEST_MAX

Definition at line 98 of file cp_model.py.

◆ CHOOSE_LOWEST_MIN

ortools.sat.python.cp_model.CHOOSE_LOWEST_MIN = cp_model_pb2.DecisionStrategyProto.CHOOSE_LOWEST_MIN

Definition at line 97 of file cp_model.py.

◆ CHOOSE_MAX_DOMAIN_SIZE

ortools.sat.python.cp_model.CHOOSE_MAX_DOMAIN_SIZE = cp_model_pb2.DecisionStrategyProto.CHOOSE_MAX_DOMAIN_SIZE

Definition at line 100 of file cp_model.py.

◆ CHOOSE_MIN_DOMAIN_SIZE

ortools.sat.python.cp_model.CHOOSE_MIN_DOMAIN_SIZE = cp_model_pb2.DecisionStrategyProto.CHOOSE_MIN_DOMAIN_SIZE

Definition at line 99 of file cp_model.py.

◆ Domain

ortools.sat.python.cp_model.Domain = sorted_interval_list.Domain

Definition at line 77 of file cp_model.py.

◆ FEASIBLE

ortools.sat.python.cp_model.FEASIBLE = cp_model_pb2.FEASIBLE

Definition at line 91 of file cp_model.py.

◆ FIXED_SEARCH

ortools.sat.python.cp_model.FIXED_SEARCH = sat_parameters_pb2.SatParameters.FIXED_SEARCH

Definition at line 110 of file cp_model.py.

◆ HINT_SEARCH

ortools.sat.python.cp_model.HINT_SEARCH = sat_parameters_pb2.SatParameters.HINT_SEARCH

Definition at line 117 of file cp_model.py.

◆ INFEASIBLE

ortools.sat.python.cp_model.INFEASIBLE = cp_model_pb2.INFEASIBLE

Definition at line 92 of file cp_model.py.

◆ INT32_MAX

int ortools.sat.python.cp_model.INT32_MAX = 2**31 - 1

Definition at line 86 of file cp_model.py.

◆ INT32_MIN

ortools.sat.python.cp_model.INT32_MIN = -(2**31)

Definition at line 85 of file cp_model.py.

◆ INT_MAX

int ortools.sat.python.cp_model.INT_MAX = 2**63 - 1

Definition at line 84 of file cp_model.py.

◆ INT_MIN

ortools.sat.python.cp_model.INT_MIN = -(2**63)

Definition at line 83 of file cp_model.py.

◆ IntegralT

ortools.sat.python.cp_model.IntegralT = Union[numbers.Integral, int]

Definition at line 123 of file cp_model.py.

◆ LinearExprT

ortools.sat.python.cp_model.LinearExprT = Union["LinearExpr", "IntVar", IntegralT]

Definition at line 129 of file cp_model.py.

◆ LiteralT

ortools.sat.python.cp_model.LiteralT = Union["IntVar", "_NotBooleanVariable", IntegralT, bool]

Definition at line 126 of file cp_model.py.

◆ LP_SEARCH

ortools.sat.python.cp_model.LP_SEARCH = sat_parameters_pb2.SatParameters.LP_SEARCH

Definition at line 112 of file cp_model.py.

◆ MODEL_INVALID

ortools.sat.python.cp_model.MODEL_INVALID = cp_model_pb2.MODEL_INVALID

Definition at line 90 of file cp_model.py.

◆ NumberT

ortools.sat.python.cp_model.NumberT = Union[numbers.Integral, int, numbers.Number, float]

Definition at line 125 of file cp_model.py.

◆ ObjLinearExprT

ortools.sat.python.cp_model.ObjLinearExprT = Union["LinearExpr", "IntVar", NumberT]

Definition at line 130 of file cp_model.py.

◆ OPTIMAL

ortools.sat.python.cp_model.OPTIMAL = cp_model_pb2.OPTIMAL

Definition at line 93 of file cp_model.py.

◆ PARTIAL_FIXED_SEARCH

ortools.sat.python.cp_model.PARTIAL_FIXED_SEARCH = sat_parameters_pb2.SatParameters.PARTIAL_FIXED_SEARCH

Definition at line 118 of file cp_model.py.

◆ PORTFOLIO_SEARCH

ortools.sat.python.cp_model.PORTFOLIO_SEARCH = sat_parameters_pb2.SatParameters.PORTFOLIO_SEARCH

Definition at line 111 of file cp_model.py.

◆ PORTFOLIO_WITH_QUICK_RESTART_SEARCH

tuple ortools.sat.python.cp_model.PORTFOLIO_WITH_QUICK_RESTART_SEARCH

Initial value:

=  (
    sat_parameters_pb2.SatParameters.PORTFOLIO_WITH_QUICK_RESTART_SEARCH
)

Definition at line 114 of file cp_model.py.

◆ PSEUDO_COST_SEARCH

ortools.sat.python.cp_model.PSEUDO_COST_SEARCH = sat_parameters_pb2.SatParameters.PSEUDO_COST_SEARCH

Definition at line 113 of file cp_model.py.

◆ RANDOMIZED_SEARCH

ortools.sat.python.cp_model.RANDOMIZED_SEARCH = sat_parameters_pb2.SatParameters.RANDOMIZED_SEARCH

Definition at line 119 of file cp_model.py.

◆ SELECT_LOWER_HALF

ortools.sat.python.cp_model.SELECT_LOWER_HALF = cp_model_pb2.DecisionStrategyProto.SELECT_LOWER_HALF

Definition at line 105 of file cp_model.py.

◆ SELECT_MAX_VALUE

ortools.sat.python.cp_model.SELECT_MAX_VALUE = cp_model_pb2.DecisionStrategyProto.SELECT_MAX_VALUE

Definition at line 104 of file cp_model.py.

◆ SELECT_MIN_VALUE

ortools.sat.python.cp_model.SELECT_MIN_VALUE = cp_model_pb2.DecisionStrategyProto.SELECT_MIN_VALUE

Definition at line 103 of file cp_model.py.

◆ SELECT_UPPER_HALF

ortools.sat.python.cp_model.SELECT_UPPER_HALF = cp_model_pb2.DecisionStrategyProto.SELECT_UPPER_HALF

Definition at line 106 of file cp_model.py.

◆ UNKNOWN

ortools.sat.python.cp_model.UNKNOWN = cp_model_pb2.UNKNOWN

Definition at line 89 of file cp_model.py.

◆ VariableT

ortools.sat.python.cp_model.VariableT = Union["IntVar", IntegralT]

Definition at line 128 of file cp_model.py.

Classes

Functions

Variables

Detailed Description

Function Documentation

◆ _attribute_series()

◆ _convert_to_integral_series_and_validate_index()

◆ _convert_to_linear_expr_series_and_validate_index()

◆ _convert_to_literal_series_and_validate_index()

◆ _get_index()

◆ display_bounds()

◆ evaluate_boolean_expression()

◆ evaluate_linear_expr()

◆ expand_generator_or_tuple() [1/3]

◆ expand_generator_or_tuple() [2/3]

◆ expand_generator_or_tuple() [3/3]

◆ object_is_a_false_literal()

◆ object_is_a_true_literal()

◆ short_expr_name()

◆ short_name()

Variable Documentation

◆ _IndexOrSeries

◆ ArcT

◆ AUTOMATIC_SEARCH

◆ BoolVarT

◆ BoundedLinearExprT

◆ CHOOSE_FIRST

◆ CHOOSE_HIGHEST_MAX

◆ CHOOSE_LOWEST_MIN

◆ CHOOSE_MAX_DOMAIN_SIZE

◆ CHOOSE_MIN_DOMAIN_SIZE

◆ Domain

◆ FEASIBLE

◆ FIXED_SEARCH

◆ HINT_SEARCH

◆ INFEASIBLE

◆ INT32_MAX

◆ INT32_MIN

◆ INT_MAX

◆ INT_MIN

◆ IntegralT

◆ LinearExprT

◆ LiteralT

◆ LP_SEARCH

◆ MODEL_INVALID

◆ NumberT

◆ ObjLinearExprT

◆ OPTIMAL

◆ PARTIAL_FIXED_SEARCH

◆ PORTFOLIO_SEARCH

◆ PORTFOLIO_WITH_QUICK_RESTART_SEARCH

◆ PSEUDO_COST_SEARCH

◆ RANDOMIZED_SEARCH

◆ SELECT_LOWER_HALF

◆ SELECT_MAX_VALUE

◆ SELECT_MIN_VALUE

◆ SELECT_UPPER_HALF

◆ UNKNOWN

◆ VariableT