cp_model.py File Reference

Go to the source code of this file.

Classes
class	ortools.sat.python.cp_model.CpModel
class	ortools.sat.python.cp_model.CpSolver
class	ortools.sat.python.cp_model.CpSolverSolutionCallback
class	ortools.sat.python.cp_model.ObjectiveSolutionPrinter
class	ortools.sat.python.cp_model.VarArrayAndObjectiveSolutionPrinter
class	ortools.sat.python.cp_model.VarArraySolutionPrinter

Namespaces
namespace	ortools
namespace	ortools.sat
namespace	ortools.sat.python
namespace	ortools.sat.python.cp_model

Functions
Callable[[Callable], Callable]	ortools.sat.python.cp_model.deprecated (str message)
Callable	ortools.sat.python.cp_model.deprecated_method (func, str old_name)
str	ortools.sat.python.cp_model.snake_case_to_camel_case (str name)
bool	ortools.sat.python.cp_model.object_is_a_true_literal (LiteralT literal)
bool	ortools.sat.python.cp_model.object_is_a_false_literal (LiteralT literal)
pd.Index	ortools.sat.python.cp_model._get_index (_IndexOrSeries obj)
pd.Series	ortools.sat.python.cp_model._convert_to_series_and_validate_index (Union[LinearExprT, pd.Series] value_or_series, pd.Index index)
pd.Series	ortools.sat.python.cp_model._convert_to_series_and_validate_index (Union[LiteralT, pd.Series] value_or_series, pd.Index index)
pd.Series	ortools.sat.python.cp_model._convert_to_series_and_validate_index (Union[IntegralT, pd.Series] value_or_series, pd.Index index)
	ortools.sat.python.cp_model._convert_to_series_and_validate_index (value_or_series, index)

Variables
	ortools.sat.python.cp_model.BoundedLinearExpression = cmh.BoundedLinearExpression
	ortools.sat.python.cp_model.Constraint = cmh.Constraint
	ortools.sat.python.cp_model.CpModelProto = cmh.CpModelProto
	ortools.sat.python.cp_model.CpSolverResponse = cmh.CpSolverResponse
	ortools.sat.python.cp_model.CpSolverStatus = cmh.CpSolverStatus
	ortools.sat.python.cp_model.Domain = sorted_interval_list.Domain
	ortools.sat.python.cp_model.FlatFloatExpr = cmh.FlatFloatExpr
	ortools.sat.python.cp_model.FlatIntExpr = cmh.FlatIntExpr
	ortools.sat.python.cp_model.IntervalVar = cmh.IntervalVar
	ortools.sat.python.cp_model.IntVar = cmh.IntVar
	ortools.sat.python.cp_model.LinearExpr = cmh.LinearExpr
	ortools.sat.python.cp_model.NotBooleanVariable = cmh.NotBooleanVariable
	ortools.sat.python.cp_model.SatParameters = cmh.SatParameters
	ortools.sat.python.cp_model.INT_MIN = -(2**63)
int	ortools.sat.python.cp_model.INT_MAX = 2**63 - 1
	ortools.sat.python.cp_model.INT32_MIN = -(2**31)
int	ortools.sat.python.cp_model.INT32_MAX = 2**31 - 1
	ortools.sat.python.cp_model.UNKNOWN = cmh.CpSolverStatus.UNKNOWN
	ortools.sat.python.cp_model.MODEL_INVALID = cmh.CpSolverStatus.MODEL_INVALID
	ortools.sat.python.cp_model.FEASIBLE = cmh.CpSolverStatus.FEASIBLE
	ortools.sat.python.cp_model.INFEASIBLE = cmh.CpSolverStatus.INFEASIBLE
	ortools.sat.python.cp_model.OPTIMAL = cmh.CpSolverStatus.OPTIMAL
	ortools.sat.python.cp_model.CHOOSE_FIRST = cmh.DecisionStrategyProto.VariableSelectionStrategy.CHOOSE_FIRST
tuple	ortools.sat.python.cp_model.CHOOSE_LOWEST_MIN
tuple	ortools.sat.python.cp_model.CHOOSE_HIGHEST_MAX
tuple	ortools.sat.python.cp_model.CHOOSE_MIN_DOMAIN_SIZE
tuple	ortools.sat.python.cp_model.CHOOSE_MAX_DOMAIN_SIZE
	ortools.sat.python.cp_model.SELECT_MIN_VALUE = cmh.DecisionStrategyProto.DomainReductionStrategy.SELECT_MIN_VALUE
	ortools.sat.python.cp_model.SELECT_MAX_VALUE = cmh.DecisionStrategyProto.DomainReductionStrategy.SELECT_MAX_VALUE
	ortools.sat.python.cp_model.SELECT_LOWER_HALF = cmh.DecisionStrategyProto.DomainReductionStrategy.SELECT_LOWER_HALF
	ortools.sat.python.cp_model.SELECT_UPPER_HALF = cmh.DecisionStrategyProto.DomainReductionStrategy.SELECT_UPPER_HALF
tuple	ortools.sat.python.cp_model.SELECT_MEDIAN_VALUE
tuple	ortools.sat.python.cp_model.SELECT_RANDOM_HALF
	ortools.sat.python.cp_model.AUTOMATIC_SEARCH = cmh.SatParameters.SearchBranching.AUTOMATIC_SEARCH
	ortools.sat.python.cp_model.FIXED_SEARCH = cmh.SatParameters.SearchBranching.FIXED_SEARCH
	ortools.sat.python.cp_model.PORTFOLIO_SEARCH = cmh.SatParameters.SearchBranching.PORTFOLIO_SEARCH
	ortools.sat.python.cp_model.LP_SEARCH = cmh.SatParameters.SearchBranching.LP_SEARCH
	ortools.sat.python.cp_model.PSEUDO_COST_SEARCH = cmh.SatParameters.SearchBranching.PSEUDO_COST_SEARCH
tuple	ortools.sat.python.cp_model.PORTFOLIO_WITH_QUICK_RESTART_SEARCH
	ortools.sat.python.cp_model.HINT_SEARCH = cmh.SatParameters.SearchBranching.HINT_SEARCH
	ortools.sat.python.cp_model.PARTIAL_FIXED_SEARCH = cmh.SatParameters.SearchBranching.PARTIAL_FIXED_SEARCH
	ortools.sat.python.cp_model.RANDOMIZED_SEARCH = cmh.SatParameters.SearchBranching.RANDOMIZED_SEARCH
	ortools.sat.python.cp_model.IntegralT = Union[int, np.int8, np.uint8, np.int32, np.uint32, np.int64, np.uint64]
tuple	ortools.sat.python.cp_model.IntegralTypes
	ortools.sat.python.cp_model.NumberT
tuple	ortools.sat.python.cp_model.NumberTypes
	ortools.sat.python.cp_model.LiteralT = Union[cmh.Literal, IntegralT, bool]
	ortools.sat.python.cp_model.BoolVarT = cmh.Literal
	ortools.sat.python.cp_model.VariableT = Union["IntVar", IntegralT]
	ortools.sat.python.cp_model.LinearExprT = Union[LinearExpr, "IntVar", IntegralT]
	ortools.sat.python.cp_model.ObjLinearExprT = Union[LinearExpr, NumberT]
	ortools.sat.python.cp_model.ArcT = tuple[IntegralT, IntegralT, LiteralT]
	ortools.sat.python.cp_model._IndexOrSeries = Union[pd.Index, pd.Series]
bool	ortools.sat.python.cp_model.enable_warnings = False