Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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Definition at line 7 of file CpSolverResponseOrBuilder.java.
com.google.ortools.sat.CpSolverSolution com.google.ortools.sat.CpSolverResponseOrBuilder.getAdditionalSolutions | ( | int | index | ) |
If the parameter fill_additional_solutions_in_response is set, then we copy all the solutions from our internal solution pool here. Note that the one returned in the solution field will likely appear here too. Do not rely on the solutions order as it depends on our internal representation (after postsolve).
repeated .operations_research.sat.CpSolverSolution additional_solutions = 27;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
int com.google.ortools.sat.CpSolverResponseOrBuilder.getAdditionalSolutionsCount | ( | ) |
If the parameter fill_additional_solutions_in_response is set, then we copy all the solutions from our internal solution pool here. Note that the one returned in the solution field will likely appear here too. Do not rely on the solutions order as it depends on our internal representation (after postsolve).
repeated .operations_research.sat.CpSolverSolution additional_solutions = 27;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.util.List< com.google.ortools.sat.CpSolverSolution > com.google.ortools.sat.CpSolverResponseOrBuilder.getAdditionalSolutionsList | ( | ) |
If the parameter fill_additional_solutions_in_response is set, then we copy all the solutions from our internal solution pool here. Note that the one returned in the solution field will likely appear here too. Do not rely on the solutions order as it depends on our internal representation (after postsolve).
repeated .operations_research.sat.CpSolverSolution additional_solutions = 27;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.ortools.sat.CpSolverSolutionOrBuilder com.google.ortools.sat.CpSolverResponseOrBuilder.getAdditionalSolutionsOrBuilder | ( | int | index | ) |
If the parameter fill_additional_solutions_in_response is set, then we copy all the solutions from our internal solution pool here. Note that the one returned in the solution field will likely appear here too. Do not rely on the solutions order as it depends on our internal representation (after postsolve).
repeated .operations_research.sat.CpSolverSolution additional_solutions = 27;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.util.List<? extends com.google.ortools.sat.CpSolverSolutionOrBuilder > com.google.ortools.sat.CpSolverResponseOrBuilder.getAdditionalSolutionsOrBuilderList | ( | ) |
If the parameter fill_additional_solutions_in_response is set, then we copy all the solutions from our internal solution pool here. Note that the one returned in the solution field will likely appear here too. Do not rely on the solutions order as it depends on our internal representation (after postsolve).
repeated .operations_research.sat.CpSolverSolution additional_solutions = 27;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
double com.google.ortools.sat.CpSolverResponseOrBuilder.getBestObjectiveBound | ( | ) |
Only make sense for an optimization problem. A proven lower-bound on the objective for a minimization problem, or a proven upper-bound for a maximization problem.
double best_objective_bound = 4;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
double com.google.ortools.sat.CpSolverResponseOrBuilder.getDeterministicTime | ( | ) |
double deterministic_time = 17;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
double com.google.ortools.sat.CpSolverResponseOrBuilder.getGapIntegral | ( | ) |
The integral of log(1 + absolute_objective_gap) over time.
double gap_integral = 22;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getInnerObjectiveLowerBound | ( | ) |
Advanced usage. A lower bound on the inner integer expression of the objective. This is either a bound on the expression in the returned integer_objective or on the integer expression of the original objective if the problem already has an integer objective.
int64 inner_objective_lower_bound = 29;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.ortools.sat.CpObjectiveProto com.google.ortools.sat.CpSolverResponseOrBuilder.getIntegerObjective | ( | ) |
Contains the integer objective optimized internally. This is only filled if the problem had a floating point objective, and on the final response, not the ones given to callbacks.
.operations_research.sat.CpObjectiveProto integer_objective = 28;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.ortools.sat.CpObjectiveProtoOrBuilder com.google.ortools.sat.CpSolverResponseOrBuilder.getIntegerObjectiveOrBuilder | ( | ) |
Contains the integer objective optimized internally. This is only filled if the problem had a floating point objective, and on the final response, not the ones given to callbacks.
.operations_research.sat.CpObjectiveProto integer_objective = 28;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumBinaryPropagations | ( | ) |
int64 num_binary_propagations = 13;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumBooleans | ( | ) |
int64 num_booleans = 10;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumBranches | ( | ) |
int64 num_branches = 12;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumConflicts | ( | ) |
int64 num_conflicts = 11;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumIntegerPropagations | ( | ) |
int64 num_integer_propagations = 14;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumIntegers | ( | ) |
Some statistics about the solve. Important: in multithread, this correspond the statistics of the first subsolver. Which is usually the one with the user defined parameters. Or the default-search if none are specified.
int64 num_integers = 30;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumLpIterations | ( | ) |
int64 num_lp_iterations = 25;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getNumRestarts | ( | ) |
int64 num_restarts = 24;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
double com.google.ortools.sat.CpSolverResponseOrBuilder.getObjectiveValue | ( | ) |
Only make sense for an optimization problem. The objective value of the returned solution if it is non-empty. If there is no solution, then for a minimization problem, this will be an upper-bound of the objective of any feasible solution, and a lower-bound for a maximization problem.
double objective_value = 3;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
long com.google.ortools.sat.CpSolverResponseOrBuilder.getSolution | ( | int | index | ) |
A feasible solution to the given problem. Depending on the returned status it may be optimal or just feasible. This is in one-to-one correspondence with a CpModelProto::variables repeated field and list the values of all the variables.
repeated int64 solution = 2;
index | The index of the element to return. |
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
int com.google.ortools.sat.CpSolverResponseOrBuilder.getSolutionCount | ( | ) |
A feasible solution to the given problem. Depending on the returned status it may be optimal or just feasible. This is in one-to-one correspondence with a CpModelProto::variables repeated field and list the values of all the variables.
repeated int64 solution = 2;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.lang.String com.google.ortools.sat.CpSolverResponseOrBuilder.getSolutionInfo | ( | ) |
Additional information about how the solution was found. It also stores model or parameters errors that caused the model to be invalid.
string solution_info = 20;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.protobuf.ByteString com.google.ortools.sat.CpSolverResponseOrBuilder.getSolutionInfoBytes | ( | ) |
Additional information about how the solution was found. It also stores model or parameters errors that caused the model to be invalid.
string solution_info = 20;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.util.List< java.lang.Long > com.google.ortools.sat.CpSolverResponseOrBuilder.getSolutionList | ( | ) |
A feasible solution to the given problem. Depending on the returned status it may be optimal or just feasible. This is in one-to-one correspondence with a CpModelProto::variables repeated field and list the values of all the variables.
repeated int64 solution = 2;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.lang.String com.google.ortools.sat.CpSolverResponseOrBuilder.getSolveLog | ( | ) |
The solve log will be filled if the parameter log_to_response is set to true.
string solve_log = 26;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.protobuf.ByteString com.google.ortools.sat.CpSolverResponseOrBuilder.getSolveLogBytes | ( | ) |
The solve log will be filled if the parameter log_to_response is set to true.
string solve_log = 26;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.ortools.sat.CpSolverStatus com.google.ortools.sat.CpSolverResponseOrBuilder.getStatus | ( | ) |
The status of the solve.
.operations_research.sat.CpSolverStatus status = 1;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
int com.google.ortools.sat.CpSolverResponseOrBuilder.getStatusValue | ( | ) |
The status of the solve.
.operations_research.sat.CpSolverStatus status = 1;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
int com.google.ortools.sat.CpSolverResponseOrBuilder.getSufficientAssumptionsForInfeasibility | ( | int | index | ) |
A subset of the model "assumptions" field. This will only be filled if the status is INFEASIBLE. This subset of assumption will be enough to still get an infeasible problem. This is related to what is called the irreducible inconsistent subsystem or IIS. Except one is only concerned by the provided assumptions. There is also no guarantee that we return an irreducible (aka minimal subset). However, this is based on SAT explanation and there is a good chance it is not too large. If you really want a minimal subset, a possible way to get one is by changing your model to minimize the number of assumptions at false, but this is likely an harder problem to solve. Important: Currently, this is minimized only in single-thread and if the problem is not an optimization problem, otherwise, it will always include all the assumptions. TODO(user): Allows for returning multiple core at once.
repeated int32 sufficient_assumptions_for_infeasibility = 23;
index | The index of the element to return. |
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
int com.google.ortools.sat.CpSolverResponseOrBuilder.getSufficientAssumptionsForInfeasibilityCount | ( | ) |
A subset of the model "assumptions" field. This will only be filled if the status is INFEASIBLE. This subset of assumption will be enough to still get an infeasible problem. This is related to what is called the irreducible inconsistent subsystem or IIS. Except one is only concerned by the provided assumptions. There is also no guarantee that we return an irreducible (aka minimal subset). However, this is based on SAT explanation and there is a good chance it is not too large. If you really want a minimal subset, a possible way to get one is by changing your model to minimize the number of assumptions at false, but this is likely an harder problem to solve. Important: Currently, this is minimized only in single-thread and if the problem is not an optimization problem, otherwise, it will always include all the assumptions. TODO(user): Allows for returning multiple core at once.
repeated int32 sufficient_assumptions_for_infeasibility = 23;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.util.List< java.lang.Integer > com.google.ortools.sat.CpSolverResponseOrBuilder.getSufficientAssumptionsForInfeasibilityList | ( | ) |
A subset of the model "assumptions" field. This will only be filled if the status is INFEASIBLE. This subset of assumption will be enough to still get an infeasible problem. This is related to what is called the irreducible inconsistent subsystem or IIS. Except one is only concerned by the provided assumptions. There is also no guarantee that we return an irreducible (aka minimal subset). However, this is based on SAT explanation and there is a good chance it is not too large. If you really want a minimal subset, a possible way to get one is by changing your model to minimize the number of assumptions at false, but this is likely an harder problem to solve. Important: Currently, this is minimized only in single-thread and if the problem is not an optimization problem, otherwise, it will always include all the assumptions. TODO(user): Allows for returning multiple core at once.
repeated int32 sufficient_assumptions_for_infeasibility = 23;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.ortools.sat.IntegerVariableProto com.google.ortools.sat.CpSolverResponseOrBuilder.getTightenedVariables | ( | int | index | ) |
Advanced usage. If the option fill_tightened_domains_in_response is set, then this field will be a copy of the CpModelProto.variables where each domain has been reduced using the information the solver was able to derive. Note that this is only filled with the info derived during a normal search and we do not have any dedicated algorithm to improve it. Warning: if you didn't set keep_all_feasible_solutions_in_presolve, then these domains might exclude valid feasible solution. Otherwise for a feasibility problem, all feasible solution should be there. Warning: For an optimization problem, these will correspond to valid bounds for the problem of finding an improving solution to the best one found so far. It might be better to solve a feasibility version if one just want to explore the feasible region.
repeated .operations_research.sat.IntegerVariableProto tightened_variables = 21;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
int com.google.ortools.sat.CpSolverResponseOrBuilder.getTightenedVariablesCount | ( | ) |
Advanced usage. If the option fill_tightened_domains_in_response is set, then this field will be a copy of the CpModelProto.variables where each domain has been reduced using the information the solver was able to derive. Note that this is only filled with the info derived during a normal search and we do not have any dedicated algorithm to improve it. Warning: if you didn't set keep_all_feasible_solutions_in_presolve, then these domains might exclude valid feasible solution. Otherwise for a feasibility problem, all feasible solution should be there. Warning: For an optimization problem, these will correspond to valid bounds for the problem of finding an improving solution to the best one found so far. It might be better to solve a feasibility version if one just want to explore the feasible region.
repeated .operations_research.sat.IntegerVariableProto tightened_variables = 21;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.util.List< com.google.ortools.sat.IntegerVariableProto > com.google.ortools.sat.CpSolverResponseOrBuilder.getTightenedVariablesList | ( | ) |
Advanced usage. If the option fill_tightened_domains_in_response is set, then this field will be a copy of the CpModelProto.variables where each domain has been reduced using the information the solver was able to derive. Note that this is only filled with the info derived during a normal search and we do not have any dedicated algorithm to improve it. Warning: if you didn't set keep_all_feasible_solutions_in_presolve, then these domains might exclude valid feasible solution. Otherwise for a feasibility problem, all feasible solution should be there. Warning: For an optimization problem, these will correspond to valid bounds for the problem of finding an improving solution to the best one found so far. It might be better to solve a feasibility version if one just want to explore the feasible region.
repeated .operations_research.sat.IntegerVariableProto tightened_variables = 21;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
com.google.ortools.sat.IntegerVariableProtoOrBuilder com.google.ortools.sat.CpSolverResponseOrBuilder.getTightenedVariablesOrBuilder | ( | int | index | ) |
Advanced usage. If the option fill_tightened_domains_in_response is set, then this field will be a copy of the CpModelProto.variables where each domain has been reduced using the information the solver was able to derive. Note that this is only filled with the info derived during a normal search and we do not have any dedicated algorithm to improve it. Warning: if you didn't set keep_all_feasible_solutions_in_presolve, then these domains might exclude valid feasible solution. Otherwise for a feasibility problem, all feasible solution should be there. Warning: For an optimization problem, these will correspond to valid bounds for the problem of finding an improving solution to the best one found so far. It might be better to solve a feasibility version if one just want to explore the feasible region.
repeated .operations_research.sat.IntegerVariableProto tightened_variables = 21;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
java.util.List<? extends com.google.ortools.sat.IntegerVariableProtoOrBuilder > com.google.ortools.sat.CpSolverResponseOrBuilder.getTightenedVariablesOrBuilderList | ( | ) |
Advanced usage. If the option fill_tightened_domains_in_response is set, then this field will be a copy of the CpModelProto.variables where each domain has been reduced using the information the solver was able to derive. Note that this is only filled with the info derived during a normal search and we do not have any dedicated algorithm to improve it. Warning: if you didn't set keep_all_feasible_solutions_in_presolve, then these domains might exclude valid feasible solution. Otherwise for a feasibility problem, all feasible solution should be there. Warning: For an optimization problem, these will correspond to valid bounds for the problem of finding an improving solution to the best one found so far. It might be better to solve a feasibility version if one just want to explore the feasible region.
repeated .operations_research.sat.IntegerVariableProto tightened_variables = 21;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
double com.google.ortools.sat.CpSolverResponseOrBuilder.getUserTime | ( | ) |
double user_time = 16;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
double com.google.ortools.sat.CpSolverResponseOrBuilder.getWallTime | ( | ) |
The time counted from the beginning of the Solve() call.
double wall_time = 15;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.
boolean com.google.ortools.sat.CpSolverResponseOrBuilder.hasIntegerObjective | ( | ) |
Contains the integer objective optimized internally. This is only filled if the problem had a floating point objective, and on the final response, not the ones given to callbacks.
.operations_research.sat.CpObjectiveProto integer_objective = 28;
Implemented in com.google.ortools.sat.CpSolverResponse.Builder, and com.google.ortools.sat.CpSolverResponse.