public final class BopParameters extends com.google.protobuf.GeneratedMessage implements BopParametersOrBuilder
Contains the definitions for all the bop algorithm parameters and their default values. NEXT TAG: 42Protobuf type
operations_research.bop.BopParameters
Modifier and Type | Class and Description |
---|---|
static class |
BopParameters.Builder
Contains the definitions for all the bop algorithm parameters and their
default values.
|
static class |
BopParameters.ThreadSynchronizationType
Defines how the different solvers are synchronized during the search.
|
com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.FieldAccessorTable, com.google.protobuf.GeneratedMessage.GeneratedExtension<ContainingT extends com.google.protobuf.Message,T>, com.google.protobuf.GeneratedMessage.UnusedPrivateParameter
Modifier and Type | Method and Description |
---|---|
boolean |
equals(java.lang.Object obj) |
boolean |
getComputeEstimatedImpact()
Compute estimated impact at each iteration when true; only once when false.
|
double |
getDecomposedProblemMinTimeInSeconds()
HACK.
|
int |
getDecomposerNumVariablesThreshold()
Only try to decompose the problem when the number of variables is greater
than the threshold.
|
static BopParameters |
getDefaultInstance() |
BopParameters |
getDefaultInstanceForType() |
java.lang.String |
getDefaultSolverOptimizerSets()
optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "]; |
com.google.protobuf.ByteString |
getDefaultSolverOptimizerSetsBytes()
optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "]; |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
boolean |
getExploitSymmetryInSatFirstSolution()
If true, find and exploit symmetries in proving satisfiability in the first
problem.
|
int |
getGuidedSatConflictsChunk()
The first solutions based on guided SAT will work in chunk of that many
conflicts at the time.
|
boolean |
getLogSearchProgress()
Whether the solver should log the search progress to LOG(INFO).
|
double |
getLpMaxDeterministicTime()
The max deterministic time given to the LP solver each time it is called.
|
double |
getMaxDeterministicTime()
Maximum time allowed in deterministic time to solve a problem.
|
int |
getMaxLpSolveForFeasibilityProblems()
The maximum number of time the LP solver will run to feasibility for pure
feasibility problems (with a constant-valued objective function).
|
long |
getMaxNumberOfBacktracksInLs()
Maximum number of backtracks times the number of variables in Local Search,
ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.
|
int |
getMaxNumberOfConflictsForQuickCheck()
The number of conflicts the SAT solver has to solve a random LNS
subproblem for the quick check of infeasibility.
|
int |
getMaxNumberOfConflictsInRandomLns()
The number of conflicts the SAT solver has to solve a random LNS
subproblem.
|
int |
getMaxNumberOfConflictsInRandomSolutionGeneration()
The number of conflicts the SAT solver has to generate a random solution.
|
int |
getMaxNumberOfConsecutiveFailingOptimizerCalls()
Maximum number of consecutive optimizer calls without improving the
current solution.
|
long |
getMaxNumberOfExploredAssignmentsPerTryInLs()
The maximum number of assignments the Local Search iterates on during one
try.
|
int |
getMaxNumBrokenConstraintsInLs()
Abort the LS search tree as soon as strictly more than this number of
constraints are broken.
|
int |
getMaxNumDecisionsInLs()
Maximum number of cascading decisions the solver might use to repair the
current solution in the LS.
|
double |
getMaxTimeInSeconds()
Maximum time allowed in seconds to solve a problem.
|
int |
getNumberOfSolvers()
The number of solvers used to run Bop.
|
int |
getNumBopSolversUsedByDecomposition()
The number of BopSolver created (thread pool workers) used by the integral
solver to solve a decomposed problem.
|
int |
getNumRandomLnsTries()
Number of tries in the random lns.
|
int |
getNumRelaxedVars()
Number of variables to relax in the exhaustive Large Neighborhood Search.
|
com.google.protobuf.Parser<BopParameters> |
getParserForType() |
boolean |
getPruneSearchTree()
Avoid exploring both branches (b, a, ...) and (a, b, ...).
|
int |
getRandomSeed()
The seed used to initialize the random generator.
|
double |
getRelativeGapLimit()
Limit used to stop the optimization as soon as the relative gap is smaller
than the given value.
|
int |
getSerializedSize() |
BopSolverOptimizerSet |
getSolverOptimizerSets(int index)
List of set of optimizers to be run by the solvers.
|
int |
getSolverOptimizerSetsCount()
List of set of optimizers to be run by the solvers.
|
java.util.List<BopSolverOptimizerSet> |
getSolverOptimizerSetsList()
List of set of optimizers to be run by the solvers.
|
BopSolverOptimizerSetOrBuilder |
getSolverOptimizerSetsOrBuilder(int index)
List of set of optimizers to be run by the solvers.
|
java.util.List<? extends BopSolverOptimizerSetOrBuilder> |
getSolverOptimizerSetsOrBuilderList()
List of set of optimizers to be run by the solvers.
|
boolean |
getSortConstraintsByNumTerms()
Sort constraints by increasing total number of terms instead of number of
contributing terms.
|
BopParameters.ThreadSynchronizationType |
getSynchronizationType()
optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION]; |
boolean |
getUseLearnedBinaryClausesInLp()
Whether we use the learned binary clauses in the Linear Relaxation.
|
boolean |
getUseLpLns()
Use Large Neighborhood Search based on the LP relaxation.
|
boolean |
getUseLpStrongBranching()
Use strong branching in the linear relaxation optimizer.
|
boolean |
getUsePotentialOneFlipRepairsInLs()
Whether we keep a list of variable that can potentially repair in one flip
all the current infeasible constraints (such variable must at least appear
in all the infeasible constraints for this to happen).
|
boolean |
getUseRandomLns()
Use the random Large Neighborhood Search instead of the exhaustive one.
|
boolean |
getUseSatToChooseLnsNeighbourhood()
Whether we use sat propagation to choose the lns neighbourhood.
|
boolean |
getUseSymmetry()
If true, find and exploit the eventual symmetries of the problem.
|
boolean |
getUseTranspositionTableInLs()
Whether we use an hash set during the LS to avoid exploring more than once
the "same" state.
|
boolean |
hasComputeEstimatedImpact()
Compute estimated impact at each iteration when true; only once when false.
|
boolean |
hasDecomposedProblemMinTimeInSeconds()
HACK.
|
boolean |
hasDecomposerNumVariablesThreshold()
Only try to decompose the problem when the number of variables is greater
than the threshold.
|
boolean |
hasDefaultSolverOptimizerSets()
optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "]; |
boolean |
hasExploitSymmetryInSatFirstSolution()
If true, find and exploit symmetries in proving satisfiability in the first
problem.
|
boolean |
hasGuidedSatConflictsChunk()
The first solutions based on guided SAT will work in chunk of that many
conflicts at the time.
|
int |
hashCode() |
boolean |
hasLogSearchProgress()
Whether the solver should log the search progress to LOG(INFO).
|
boolean |
hasLpMaxDeterministicTime()
The max deterministic time given to the LP solver each time it is called.
|
boolean |
hasMaxDeterministicTime()
Maximum time allowed in deterministic time to solve a problem.
|
boolean |
hasMaxLpSolveForFeasibilityProblems()
The maximum number of time the LP solver will run to feasibility for pure
feasibility problems (with a constant-valued objective function).
|
boolean |
hasMaxNumberOfBacktracksInLs()
Maximum number of backtracks times the number of variables in Local Search,
ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.
|
boolean |
hasMaxNumberOfConflictsForQuickCheck()
The number of conflicts the SAT solver has to solve a random LNS
subproblem for the quick check of infeasibility.
|
boolean |
hasMaxNumberOfConflictsInRandomLns()
The number of conflicts the SAT solver has to solve a random LNS
subproblem.
|
boolean |
hasMaxNumberOfConflictsInRandomSolutionGeneration()
The number of conflicts the SAT solver has to generate a random solution.
|
boolean |
hasMaxNumberOfConsecutiveFailingOptimizerCalls()
Maximum number of consecutive optimizer calls without improving the
current solution.
|
boolean |
hasMaxNumberOfExploredAssignmentsPerTryInLs()
The maximum number of assignments the Local Search iterates on during one
try.
|
boolean |
hasMaxNumBrokenConstraintsInLs()
Abort the LS search tree as soon as strictly more than this number of
constraints are broken.
|
boolean |
hasMaxNumDecisionsInLs()
Maximum number of cascading decisions the solver might use to repair the
current solution in the LS.
|
boolean |
hasMaxTimeInSeconds()
Maximum time allowed in seconds to solve a problem.
|
boolean |
hasNumberOfSolvers()
The number of solvers used to run Bop.
|
boolean |
hasNumBopSolversUsedByDecomposition()
The number of BopSolver created (thread pool workers) used by the integral
solver to solve a decomposed problem.
|
boolean |
hasNumRandomLnsTries()
Number of tries in the random lns.
|
boolean |
hasNumRelaxedVars()
Number of variables to relax in the exhaustive Large Neighborhood Search.
|
boolean |
hasPruneSearchTree()
Avoid exploring both branches (b, a, ...) and (a, b, ...).
|
boolean |
hasRandomSeed()
The seed used to initialize the random generator.
|
boolean |
hasRelativeGapLimit()
Limit used to stop the optimization as soon as the relative gap is smaller
than the given value.
|
boolean |
hasSortConstraintsByNumTerms()
Sort constraints by increasing total number of terms instead of number of
contributing terms.
|
boolean |
hasSynchronizationType()
optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION]; |
boolean |
hasUseLearnedBinaryClausesInLp()
Whether we use the learned binary clauses in the Linear Relaxation.
|
boolean |
hasUseLpLns()
Use Large Neighborhood Search based on the LP relaxation.
|
boolean |
hasUseLpStrongBranching()
Use strong branching in the linear relaxation optimizer.
|
boolean |
hasUsePotentialOneFlipRepairsInLs()
Whether we keep a list of variable that can potentially repair in one flip
all the current infeasible constraints (such variable must at least appear
in all the infeasible constraints for this to happen).
|
boolean |
hasUseRandomLns()
Use the random Large Neighborhood Search instead of the exhaustive one.
|
boolean |
hasUseSatToChooseLnsNeighbourhood()
Whether we use sat propagation to choose the lns neighbourhood.
|
boolean |
hasUseSymmetry()
If true, find and exploit the eventual symmetries of the problem.
|
boolean |
hasUseTranspositionTableInLs()
Whether we use an hash set during the LS to avoid exploring more than once
the "same" state.
|
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static BopParameters.Builder |
newBuilder() |
static BopParameters.Builder |
newBuilder(BopParameters prototype) |
BopParameters.Builder |
newBuilderForType() |
protected BopParameters.Builder |
newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) |
static BopParameters |
parseDelimitedFrom(java.io.InputStream input) |
static BopParameters |
parseDelimitedFrom(java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BopParameters |
parseFrom(byte[] data) |
static BopParameters |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BopParameters |
parseFrom(java.nio.ByteBuffer data) |
static BopParameters |
parseFrom(java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BopParameters |
parseFrom(com.google.protobuf.ByteString data) |
static BopParameters |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BopParameters |
parseFrom(com.google.protobuf.CodedInputStream input) |
static BopParameters |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static BopParameters |
parseFrom(java.io.InputStream input) |
static BopParameters |
parseFrom(java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<BopParameters> |
parser() |
BopParameters.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, newFileScopedGeneratedExtension, newInstance, newMessageScopedGeneratedExtension, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag
findInitializationErrors, getInitializationErrorString, hashFields, toString
addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
public static final int MAX_TIME_IN_SECONDS_FIELD_NUMBER
public static final int MAX_DETERMINISTIC_TIME_FIELD_NUMBER
public static final int LP_MAX_DETERMINISTIC_TIME_FIELD_NUMBER
public static final int MAX_NUMBER_OF_CONSECUTIVE_FAILING_OPTIMIZER_CALLS_FIELD_NUMBER
public static final int RELATIVE_GAP_LIMIT_FIELD_NUMBER
public static final int MAX_NUM_DECISIONS_IN_LS_FIELD_NUMBER
public static final int MAX_NUM_BROKEN_CONSTRAINTS_IN_LS_FIELD_NUMBER
public static final int LOG_SEARCH_PROGRESS_FIELD_NUMBER
public static final int COMPUTE_ESTIMATED_IMPACT_FIELD_NUMBER
public static final int PRUNE_SEARCH_TREE_FIELD_NUMBER
public static final int SORT_CONSTRAINTS_BY_NUM_TERMS_FIELD_NUMBER
public static final int USE_RANDOM_LNS_FIELD_NUMBER
public static final int RANDOM_SEED_FIELD_NUMBER
public static final int NUM_RELAXED_VARS_FIELD_NUMBER
public static final int MAX_NUMBER_OF_CONFLICTS_IN_RANDOM_LNS_FIELD_NUMBER
public static final int NUM_RANDOM_LNS_TRIES_FIELD_NUMBER
public static final int MAX_NUMBER_OF_BACKTRACKS_IN_LS_FIELD_NUMBER
public static final int USE_LP_LNS_FIELD_NUMBER
public static final int USE_SAT_TO_CHOOSE_LNS_NEIGHBOURHOOD_FIELD_NUMBER
public static final int MAX_NUMBER_OF_CONFLICTS_FOR_QUICK_CHECK_FIELD_NUMBER
public static final int USE_SYMMETRY_FIELD_NUMBER
public static final int EXPLOIT_SYMMETRY_IN_SAT_FIRST_SOLUTION_FIELD_NUMBER
public static final int MAX_NUMBER_OF_CONFLICTS_IN_RANDOM_SOLUTION_GENERATION_FIELD_NUMBER
public static final int MAX_NUMBER_OF_EXPLORED_ASSIGNMENTS_PER_TRY_IN_LS_FIELD_NUMBER
public static final int USE_TRANSPOSITION_TABLE_IN_LS_FIELD_NUMBER
public static final int USE_POTENTIAL_ONE_FLIP_REPAIRS_IN_LS_FIELD_NUMBER
public static final int USE_LEARNED_BINARY_CLAUSES_IN_LP_FIELD_NUMBER
public static final int NUMBER_OF_SOLVERS_FIELD_NUMBER
public static final int SYNCHRONIZATION_TYPE_FIELD_NUMBER
public static final int SOLVER_OPTIMIZER_SETS_FIELD_NUMBER
public static final int DEFAULT_SOLVER_OPTIMIZER_SETS_FIELD_NUMBER
public static final int USE_LP_STRONG_BRANCHING_FIELD_NUMBER
public static final int DECOMPOSER_NUM_VARIABLES_THRESHOLD_FIELD_NUMBER
public static final int NUM_BOP_SOLVERS_USED_BY_DECOMPOSITION_FIELD_NUMBER
public static final int DECOMPOSED_PROBLEM_MIN_TIME_IN_SECONDS_FIELD_NUMBER
public static final int GUIDED_SAT_CONFLICTS_CHUNK_FIELD_NUMBER
public static final int MAX_LP_SOLVE_FOR_FEASIBILITY_PROBLEMS_FIELD_NUMBER
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable
in class com.google.protobuf.GeneratedMessage
public boolean hasMaxTimeInSeconds()
Maximum time allowed in seconds to solve a problem. The counter will starts as soon as Solve() is called.
optional double max_time_in_seconds = 1 [default = inf];
hasMaxTimeInSeconds
in interface BopParametersOrBuilder
public double getMaxTimeInSeconds()
Maximum time allowed in seconds to solve a problem. The counter will starts as soon as Solve() is called.
optional double max_time_in_seconds = 1 [default = inf];
getMaxTimeInSeconds
in interface BopParametersOrBuilder
public boolean hasMaxDeterministicTime()
Maximum time allowed in deterministic time to solve a problem. The deterministic time should be correlated with the real time used by the solver, the time unit being roughly the order of magnitude of a second. The counter will starts as soon as SetParameters() or SolveWithTimeLimit() is called.
optional double max_deterministic_time = 27 [default = inf];
hasMaxDeterministicTime
in interface BopParametersOrBuilder
public double getMaxDeterministicTime()
Maximum time allowed in deterministic time to solve a problem. The deterministic time should be correlated with the real time used by the solver, the time unit being roughly the order of magnitude of a second. The counter will starts as soon as SetParameters() or SolveWithTimeLimit() is called.
optional double max_deterministic_time = 27 [default = inf];
getMaxDeterministicTime
in interface BopParametersOrBuilder
public boolean hasLpMaxDeterministicTime()
The max deterministic time given to the LP solver each time it is called. If this is not enough to solve the LP at hand, it will simply be called again later (and the solve will resume from where it stopped).
optional double lp_max_deterministic_time = 37 [default = 1];
hasLpMaxDeterministicTime
in interface BopParametersOrBuilder
public double getLpMaxDeterministicTime()
The max deterministic time given to the LP solver each time it is called. If this is not enough to solve the LP at hand, it will simply be called again later (and the solve will resume from where it stopped).
optional double lp_max_deterministic_time = 37 [default = 1];
getLpMaxDeterministicTime
in interface BopParametersOrBuilder
public boolean hasMaxNumberOfConsecutiveFailingOptimizerCalls()
Maximum number of consecutive optimizer calls without improving the current solution. If this number is reached, the search will be aborted. Note that this parameter only applies when an initial solution has been found or is provided. Also note that there is no limit to the number of calls, when the parameter is not set.
optional int32 max_number_of_consecutive_failing_optimizer_calls = 35;
hasMaxNumberOfConsecutiveFailingOptimizerCalls
in interface BopParametersOrBuilder
public int getMaxNumberOfConsecutiveFailingOptimizerCalls()
Maximum number of consecutive optimizer calls without improving the current solution. If this number is reached, the search will be aborted. Note that this parameter only applies when an initial solution has been found or is provided. Also note that there is no limit to the number of calls, when the parameter is not set.
optional int32 max_number_of_consecutive_failing_optimizer_calls = 35;
getMaxNumberOfConsecutiveFailingOptimizerCalls
in interface BopParametersOrBuilder
public boolean hasRelativeGapLimit()
Limit used to stop the optimization as soon as the relative gap is smaller than the given value. The relative gap is defined as: abs(solution_cost - best_bound) / max(abs(solution_cost), abs(best_bound)).
optional double relative_gap_limit = 28 [default = 0.0001];
hasRelativeGapLimit
in interface BopParametersOrBuilder
public double getRelativeGapLimit()
Limit used to stop the optimization as soon as the relative gap is smaller than the given value. The relative gap is defined as: abs(solution_cost - best_bound) / max(abs(solution_cost), abs(best_bound)).
optional double relative_gap_limit = 28 [default = 0.0001];
getRelativeGapLimit
in interface BopParametersOrBuilder
public boolean hasMaxNumDecisionsInLs()
Maximum number of cascading decisions the solver might use to repair the current solution in the LS.
optional int32 max_num_decisions_in_ls = 2 [default = 4];
hasMaxNumDecisionsInLs
in interface BopParametersOrBuilder
public int getMaxNumDecisionsInLs()
Maximum number of cascading decisions the solver might use to repair the current solution in the LS.
optional int32 max_num_decisions_in_ls = 2 [default = 4];
getMaxNumDecisionsInLs
in interface BopParametersOrBuilder
public boolean hasMaxNumBrokenConstraintsInLs()
Abort the LS search tree as soon as strictly more than this number of constraints are broken. The default is a large value which basically disable this heuristic.
optional int32 max_num_broken_constraints_in_ls = 38 [default = 2147483647];
hasMaxNumBrokenConstraintsInLs
in interface BopParametersOrBuilder
public int getMaxNumBrokenConstraintsInLs()
Abort the LS search tree as soon as strictly more than this number of constraints are broken. The default is a large value which basically disable this heuristic.
optional int32 max_num_broken_constraints_in_ls = 38 [default = 2147483647];
getMaxNumBrokenConstraintsInLs
in interface BopParametersOrBuilder
public boolean hasLogSearchProgress()
Whether the solver should log the search progress to LOG(INFO).
optional bool log_search_progress = 14 [default = false];
hasLogSearchProgress
in interface BopParametersOrBuilder
public boolean getLogSearchProgress()
Whether the solver should log the search progress to LOG(INFO).
optional bool log_search_progress = 14 [default = false];
getLogSearchProgress
in interface BopParametersOrBuilder
public boolean hasComputeEstimatedImpact()
Compute estimated impact at each iteration when true; only once when false.
optional bool compute_estimated_impact = 3 [default = true];
hasComputeEstimatedImpact
in interface BopParametersOrBuilder
public boolean getComputeEstimatedImpact()
Compute estimated impact at each iteration when true; only once when false.
optional bool compute_estimated_impact = 3 [default = true];
getComputeEstimatedImpact
in interface BopParametersOrBuilder
public boolean hasPruneSearchTree()
Avoid exploring both branches (b, a, ...) and (a, b, ...).
optional bool prune_search_tree = 4 [default = false];
hasPruneSearchTree
in interface BopParametersOrBuilder
public boolean getPruneSearchTree()
Avoid exploring both branches (b, a, ...) and (a, b, ...).
optional bool prune_search_tree = 4 [default = false];
getPruneSearchTree
in interface BopParametersOrBuilder
public boolean hasSortConstraintsByNumTerms()
Sort constraints by increasing total number of terms instead of number of contributing terms.
optional bool sort_constraints_by_num_terms = 5 [default = false];
hasSortConstraintsByNumTerms
in interface BopParametersOrBuilder
public boolean getSortConstraintsByNumTerms()
Sort constraints by increasing total number of terms instead of number of contributing terms.
optional bool sort_constraints_by_num_terms = 5 [default = false];
getSortConstraintsByNumTerms
in interface BopParametersOrBuilder
public boolean hasUseRandomLns()
Use the random Large Neighborhood Search instead of the exhaustive one.
optional bool use_random_lns = 6 [default = true];
hasUseRandomLns
in interface BopParametersOrBuilder
public boolean getUseRandomLns()
Use the random Large Neighborhood Search instead of the exhaustive one.
optional bool use_random_lns = 6 [default = true];
getUseRandomLns
in interface BopParametersOrBuilder
public boolean hasRandomSeed()
The seed used to initialize the random generator. TODO(user): Some of our client test fail depending on this value! we need to fix them and ideally randomize our behavior from on test to the next so that this doesn't happen in the future.
optional int32 random_seed = 7 [default = 8];
hasRandomSeed
in interface BopParametersOrBuilder
public int getRandomSeed()
The seed used to initialize the random generator. TODO(user): Some of our client test fail depending on this value! we need to fix them and ideally randomize our behavior from on test to the next so that this doesn't happen in the future.
optional int32 random_seed = 7 [default = 8];
getRandomSeed
in interface BopParametersOrBuilder
public boolean hasNumRelaxedVars()
Number of variables to relax in the exhaustive Large Neighborhood Search.
optional int32 num_relaxed_vars = 8 [default = 10];
hasNumRelaxedVars
in interface BopParametersOrBuilder
public int getNumRelaxedVars()
Number of variables to relax in the exhaustive Large Neighborhood Search.
optional int32 num_relaxed_vars = 8 [default = 10];
getNumRelaxedVars
in interface BopParametersOrBuilder
public boolean hasMaxNumberOfConflictsInRandomLns()
The number of conflicts the SAT solver has to solve a random LNS subproblem.
optional int32 max_number_of_conflicts_in_random_lns = 9 [default = 2500];
hasMaxNumberOfConflictsInRandomLns
in interface BopParametersOrBuilder
public int getMaxNumberOfConflictsInRandomLns()
The number of conflicts the SAT solver has to solve a random LNS subproblem.
optional int32 max_number_of_conflicts_in_random_lns = 9 [default = 2500];
getMaxNumberOfConflictsInRandomLns
in interface BopParametersOrBuilder
public boolean hasNumRandomLnsTries()
Number of tries in the random lns.
optional int32 num_random_lns_tries = 10 [default = 1];
hasNumRandomLnsTries
in interface BopParametersOrBuilder
public int getNumRandomLnsTries()
Number of tries in the random lns.
optional int32 num_random_lns_tries = 10 [default = 1];
getNumRandomLnsTries
in interface BopParametersOrBuilder
public boolean hasMaxNumberOfBacktracksInLs()
Maximum number of backtracks times the number of variables in Local Search, ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.
optional int64 max_number_of_backtracks_in_ls = 11 [default = 100000000];
hasMaxNumberOfBacktracksInLs
in interface BopParametersOrBuilder
public long getMaxNumberOfBacktracksInLs()
Maximum number of backtracks times the number of variables in Local Search, ie. max num backtracks == max_number_of_backtracks_in_ls / num variables.
optional int64 max_number_of_backtracks_in_ls = 11 [default = 100000000];
getMaxNumberOfBacktracksInLs
in interface BopParametersOrBuilder
public boolean hasUseLpLns()
Use Large Neighborhood Search based on the LP relaxation.
optional bool use_lp_lns = 12 [default = true];
hasUseLpLns
in interface BopParametersOrBuilder
public boolean getUseLpLns()
Use Large Neighborhood Search based on the LP relaxation.
optional bool use_lp_lns = 12 [default = true];
getUseLpLns
in interface BopParametersOrBuilder
public boolean hasUseSatToChooseLnsNeighbourhood()
Whether we use sat propagation to choose the lns neighbourhood.
optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];
hasUseSatToChooseLnsNeighbourhood
in interface BopParametersOrBuilder
public boolean getUseSatToChooseLnsNeighbourhood()
Whether we use sat propagation to choose the lns neighbourhood.
optional bool use_sat_to_choose_lns_neighbourhood = 15 [default = true];
getUseSatToChooseLnsNeighbourhood
in interface BopParametersOrBuilder
public boolean hasMaxNumberOfConflictsForQuickCheck()
The number of conflicts the SAT solver has to solve a random LNS subproblem for the quick check of infeasibility.
optional int32 max_number_of_conflicts_for_quick_check = 16 [default = 10];
hasMaxNumberOfConflictsForQuickCheck
in interface BopParametersOrBuilder
public int getMaxNumberOfConflictsForQuickCheck()
The number of conflicts the SAT solver has to solve a random LNS subproblem for the quick check of infeasibility.
optional int32 max_number_of_conflicts_for_quick_check = 16 [default = 10];
getMaxNumberOfConflictsForQuickCheck
in interface BopParametersOrBuilder
public boolean hasUseSymmetry()
If true, find and exploit the eventual symmetries of the problem. TODO(user): turn this on by default once the symmetry finder becomes fast enough to be negligeable for most problem. Or at least support a time limit.
optional bool use_symmetry = 17 [default = false];
hasUseSymmetry
in interface BopParametersOrBuilder
public boolean getUseSymmetry()
If true, find and exploit the eventual symmetries of the problem. TODO(user): turn this on by default once the symmetry finder becomes fast enough to be negligeable for most problem. Or at least support a time limit.
optional bool use_symmetry = 17 [default = false];
getUseSymmetry
in interface BopParametersOrBuilder
public boolean hasExploitSymmetryInSatFirstSolution()
If true, find and exploit symmetries in proving satisfiability in the first problem. This feature is experimental. On some problems, computing symmetries may run forever. You may also run into unforseen problems as this feature was not extensively tested.
optional bool exploit_symmetry_in_sat_first_solution = 40 [default = false];
hasExploitSymmetryInSatFirstSolution
in interface BopParametersOrBuilder
public boolean getExploitSymmetryInSatFirstSolution()
If true, find and exploit symmetries in proving satisfiability in the first problem. This feature is experimental. On some problems, computing symmetries may run forever. You may also run into unforseen problems as this feature was not extensively tested.
optional bool exploit_symmetry_in_sat_first_solution = 40 [default = false];
getExploitSymmetryInSatFirstSolution
in interface BopParametersOrBuilder
public boolean hasMaxNumberOfConflictsInRandomSolutionGeneration()
The number of conflicts the SAT solver has to generate a random solution.
optional int32 max_number_of_conflicts_in_random_solution_generation = 20 [default = 500];
hasMaxNumberOfConflictsInRandomSolutionGeneration
in interface BopParametersOrBuilder
public int getMaxNumberOfConflictsInRandomSolutionGeneration()
The number of conflicts the SAT solver has to generate a random solution.
optional int32 max_number_of_conflicts_in_random_solution_generation = 20 [default = 500];
getMaxNumberOfConflictsInRandomSolutionGeneration
in interface BopParametersOrBuilder
public boolean hasMaxNumberOfExploredAssignmentsPerTryInLs()
The maximum number of assignments the Local Search iterates on during one try. Note that if the Local Search is called again on the same solution it will not restart from scratch but will iterate on the next max_number_of_explored_assignments_per_try_in_ls assignments.
optional int64 max_number_of_explored_assignments_per_try_in_ls = 21 [default = 10000];
hasMaxNumberOfExploredAssignmentsPerTryInLs
in interface BopParametersOrBuilder
public long getMaxNumberOfExploredAssignmentsPerTryInLs()
The maximum number of assignments the Local Search iterates on during one try. Note that if the Local Search is called again on the same solution it will not restart from scratch but will iterate on the next max_number_of_explored_assignments_per_try_in_ls assignments.
optional int64 max_number_of_explored_assignments_per_try_in_ls = 21 [default = 10000];
getMaxNumberOfExploredAssignmentsPerTryInLs
in interface BopParametersOrBuilder
public boolean hasUseTranspositionTableInLs()
Whether we use an hash set during the LS to avoid exploring more than once the "same" state. Note that because the underlying SAT solver may learn information in the middle of the LS, this may make the LS slightly less "complete", but it should be faster.
optional bool use_transposition_table_in_ls = 22 [default = true];
hasUseTranspositionTableInLs
in interface BopParametersOrBuilder
public boolean getUseTranspositionTableInLs()
Whether we use an hash set during the LS to avoid exploring more than once the "same" state. Note that because the underlying SAT solver may learn information in the middle of the LS, this may make the LS slightly less "complete", but it should be faster.
optional bool use_transposition_table_in_ls = 22 [default = true];
getUseTranspositionTableInLs
in interface BopParametersOrBuilder
public boolean hasUsePotentialOneFlipRepairsInLs()
Whether we keep a list of variable that can potentially repair in one flip all the current infeasible constraints (such variable must at least appear in all the infeasible constraints for this to happen).
optional bool use_potential_one_flip_repairs_in_ls = 39 [default = false];
hasUsePotentialOneFlipRepairsInLs
in interface BopParametersOrBuilder
public boolean getUsePotentialOneFlipRepairsInLs()
Whether we keep a list of variable that can potentially repair in one flip all the current infeasible constraints (such variable must at least appear in all the infeasible constraints for this to happen).
optional bool use_potential_one_flip_repairs_in_ls = 39 [default = false];
getUsePotentialOneFlipRepairsInLs
in interface BopParametersOrBuilder
public boolean hasUseLearnedBinaryClausesInLp()
Whether we use the learned binary clauses in the Linear Relaxation.
optional bool use_learned_binary_clauses_in_lp = 23 [default = true];
hasUseLearnedBinaryClausesInLp
in interface BopParametersOrBuilder
public boolean getUseLearnedBinaryClausesInLp()
Whether we use the learned binary clauses in the Linear Relaxation.
optional bool use_learned_binary_clauses_in_lp = 23 [default = true];
getUseLearnedBinaryClausesInLp
in interface BopParametersOrBuilder
public boolean hasNumberOfSolvers()
The number of solvers used to run Bop. Note that one thread will be created per solver. The type of communication between solvers is specified by the synchronization_type parameter.
optional int32 number_of_solvers = 24 [default = 1];
hasNumberOfSolvers
in interface BopParametersOrBuilder
public int getNumberOfSolvers()
The number of solvers used to run Bop. Note that one thread will be created per solver. The type of communication between solvers is specified by the synchronization_type parameter.
optional int32 number_of_solvers = 24 [default = 1];
getNumberOfSolvers
in interface BopParametersOrBuilder
public boolean hasSynchronizationType()
optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];
hasSynchronizationType
in interface BopParametersOrBuilder
public BopParameters.ThreadSynchronizationType getSynchronizationType()
optional .operations_research.bop.BopParameters.ThreadSynchronizationType synchronization_type = 25 [default = NO_SYNCHRONIZATION];
getSynchronizationType
in interface BopParametersOrBuilder
public java.util.List<BopSolverOptimizerSet> getSolverOptimizerSetsList()
List of set of optimizers to be run by the solvers. Note that the i_th solver will run the min(i, solver_optimizer_sets_size())_th optimizer set. The default is defined by default_solver_optimizer_sets (only one set).
repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;
getSolverOptimizerSetsList
in interface BopParametersOrBuilder
public java.util.List<? extends BopSolverOptimizerSetOrBuilder> getSolverOptimizerSetsOrBuilderList()
List of set of optimizers to be run by the solvers. Note that the i_th solver will run the min(i, solver_optimizer_sets_size())_th optimizer set. The default is defined by default_solver_optimizer_sets (only one set).
repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;
getSolverOptimizerSetsOrBuilderList
in interface BopParametersOrBuilder
public int getSolverOptimizerSetsCount()
List of set of optimizers to be run by the solvers. Note that the i_th solver will run the min(i, solver_optimizer_sets_size())_th optimizer set. The default is defined by default_solver_optimizer_sets (only one set).
repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;
getSolverOptimizerSetsCount
in interface BopParametersOrBuilder
public BopSolverOptimizerSet getSolverOptimizerSets(int index)
List of set of optimizers to be run by the solvers. Note that the i_th solver will run the min(i, solver_optimizer_sets_size())_th optimizer set. The default is defined by default_solver_optimizer_sets (only one set).
repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;
getSolverOptimizerSets
in interface BopParametersOrBuilder
public BopSolverOptimizerSetOrBuilder getSolverOptimizerSetsOrBuilder(int index)
List of set of optimizers to be run by the solvers. Note that the i_th solver will run the min(i, solver_optimizer_sets_size())_th optimizer set. The default is defined by default_solver_optimizer_sets (only one set).
repeated .operations_research.bop.BopSolverOptimizerSet solver_optimizer_sets = 26;
getSolverOptimizerSetsOrBuilder
in interface BopParametersOrBuilder
public boolean hasDefaultSolverOptimizerSets()
optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];
hasDefaultSolverOptimizerSets
in interface BopParametersOrBuilder
public java.lang.String getDefaultSolverOptimizerSets()
optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];
getDefaultSolverOptimizerSets
in interface BopParametersOrBuilder
public com.google.protobuf.ByteString getDefaultSolverOptimizerSetsBytes()
optional string default_solver_optimizer_sets = 33 [default = "methods:{type:LOCAL_SEARCH } methods:{type:RANDOM_FIRST_SOLUTION } methods:{type:LINEAR_RELAXATION } methods:{type:LP_FIRST_SOLUTION } methods:{type:OBJECTIVE_FIRST_SOLUTION } methods:{type:USER_GUIDED_FIRST_SOLUTION } methods:{type:RANDOM_CONSTRAINT_LNS_GUIDED_BY_LP } methods:{type:RANDOM_VARIABLE_LNS_GUIDED_BY_LP } methods:{type:RELATION_GRAPH_LNS } methods:{type:RELATION_GRAPH_LNS_GUIDED_BY_LP } methods:{type:RANDOM_CONSTRAINT_LNS } methods:{type:RANDOM_VARIABLE_LNS } methods:{type:SAT_CORE_BASED } methods:{type:COMPLETE_LNS } "];
getDefaultSolverOptimizerSetsBytes
in interface BopParametersOrBuilder
public boolean hasUseLpStrongBranching()
Use strong branching in the linear relaxation optimizer. The strong branching is a what-if analysis on each variable v, i.e. compute the best bound when v is assigned to true, compute the best bound when v is assigned to false, and then use those best bounds to improve the overall best bound. This is useful to improve the best_bound, but also to fix some variables during search. Note that using probing might be time consuming as it runs the LP solver 2 * num_variables times.
optional bool use_lp_strong_branching = 29 [default = false];
hasUseLpStrongBranching
in interface BopParametersOrBuilder
public boolean getUseLpStrongBranching()
Use strong branching in the linear relaxation optimizer. The strong branching is a what-if analysis on each variable v, i.e. compute the best bound when v is assigned to true, compute the best bound when v is assigned to false, and then use those best bounds to improve the overall best bound. This is useful to improve the best_bound, but also to fix some variables during search. Note that using probing might be time consuming as it runs the LP solver 2 * num_variables times.
optional bool use_lp_strong_branching = 29 [default = false];
getUseLpStrongBranching
in interface BopParametersOrBuilder
public boolean hasDecomposerNumVariablesThreshold()
Only try to decompose the problem when the number of variables is greater than the threshold.
optional int32 decomposer_num_variables_threshold = 30 [default = 50];
hasDecomposerNumVariablesThreshold
in interface BopParametersOrBuilder
public int getDecomposerNumVariablesThreshold()
Only try to decompose the problem when the number of variables is greater than the threshold.
optional int32 decomposer_num_variables_threshold = 30 [default = 50];
getDecomposerNumVariablesThreshold
in interface BopParametersOrBuilder
public boolean hasNumBopSolversUsedByDecomposition()
The number of BopSolver created (thread pool workers) used by the integral solver to solve a decomposed problem. TODO(user): Merge this with the number_of_solvers parameter.
optional int32 num_bop_solvers_used_by_decomposition = 31 [default = 1];
hasNumBopSolversUsedByDecomposition
in interface BopParametersOrBuilder
public int getNumBopSolversUsedByDecomposition()
The number of BopSolver created (thread pool workers) used by the integral solver to solve a decomposed problem. TODO(user): Merge this with the number_of_solvers parameter.
optional int32 num_bop_solvers_used_by_decomposition = 31 [default = 1];
getNumBopSolversUsedByDecomposition
in interface BopParametersOrBuilder
public boolean hasDecomposedProblemMinTimeInSeconds()
HACK. To avoid spending too little time on small problems, spend at least this time solving each of the decomposed sub-problem. This only make sense if num_bop_solvers_used_by_decomposition is greater than 1 so that the overhead can be "absorbed" by the other threads.
optional double decomposed_problem_min_time_in_seconds = 36 [default = 0];
hasDecomposedProblemMinTimeInSeconds
in interface BopParametersOrBuilder
public double getDecomposedProblemMinTimeInSeconds()
HACK. To avoid spending too little time on small problems, spend at least this time solving each of the decomposed sub-problem. This only make sense if num_bop_solvers_used_by_decomposition is greater than 1 so that the overhead can be "absorbed" by the other threads.
optional double decomposed_problem_min_time_in_seconds = 36 [default = 0];
getDecomposedProblemMinTimeInSeconds
in interface BopParametersOrBuilder
public boolean hasGuidedSatConflictsChunk()
The first solutions based on guided SAT will work in chunk of that many conflicts at the time. This allows to simulate parallelism between the different guiding strategy on a single core.
optional int32 guided_sat_conflicts_chunk = 34 [default = 1000];
hasGuidedSatConflictsChunk
in interface BopParametersOrBuilder
public int getGuidedSatConflictsChunk()
The first solutions based on guided SAT will work in chunk of that many conflicts at the time. This allows to simulate parallelism between the different guiding strategy on a single core.
optional int32 guided_sat_conflicts_chunk = 34 [default = 1000];
getGuidedSatConflictsChunk
in interface BopParametersOrBuilder
public boolean hasMaxLpSolveForFeasibilityProblems()
The maximum number of time the LP solver will run to feasibility for pure feasibility problems (with a constant-valued objective function). Set this to a small value, e.g., 1, if fractional solutions offer useful guidance to other solvers in the portfolio. A negative value means no limit.
optional int32 max_lp_solve_for_feasibility_problems = 41 [default = 0];
hasMaxLpSolveForFeasibilityProblems
in interface BopParametersOrBuilder
public int getMaxLpSolveForFeasibilityProblems()
The maximum number of time the LP solver will run to feasibility for pure feasibility problems (with a constant-valued objective function). Set this to a small value, e.g., 1, if fractional solutions offer useful guidance to other solvers in the portfolio. A negative value means no limit.
optional int32 max_lp_solve_for_feasibility_problems = 41 [default = 0];
getMaxLpSolveForFeasibilityProblems
in interface BopParametersOrBuilder
public final boolean isInitialized()
isInitialized
in interface com.google.protobuf.MessageLiteOrBuilder
isInitialized
in class com.google.protobuf.GeneratedMessage
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException
writeTo
in interface com.google.protobuf.MessageLite
writeTo
in class com.google.protobuf.GeneratedMessage
java.io.IOException
public int getSerializedSize()
getSerializedSize
in interface com.google.protobuf.MessageLite
getSerializedSize
in class com.google.protobuf.GeneratedMessage
public boolean equals(java.lang.Object obj)
equals
in interface com.google.protobuf.Message
equals
in class com.google.protobuf.AbstractMessage
public int hashCode()
hashCode
in interface com.google.protobuf.Message
hashCode
in class com.google.protobuf.AbstractMessage
public static BopParameters parseFrom(java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferException
public static BopParameters parseFrom(java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferException
public static BopParameters parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferException
public static BopParameters parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferException
public static BopParameters parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferException
public static BopParameters parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferException
public static BopParameters parseFrom(java.io.InputStream input) throws java.io.IOException
java.io.IOException
public static BopParameters parseFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOException
public static BopParameters parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException
java.io.IOException
public static BopParameters parseDelimitedFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOException
public static BopParameters parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException
java.io.IOException
public static BopParameters parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOException
public BopParameters.Builder newBuilderForType()
newBuilderForType
in interface com.google.protobuf.Message
newBuilderForType
in interface com.google.protobuf.MessageLite
public static BopParameters.Builder newBuilder()
public static BopParameters.Builder newBuilder(BopParameters prototype)
public BopParameters.Builder toBuilder()
toBuilder
in interface com.google.protobuf.Message
toBuilder
in interface com.google.protobuf.MessageLite
protected BopParameters.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
newBuilderForType
in class com.google.protobuf.AbstractMessage
public static BopParameters getDefaultInstance()
public static com.google.protobuf.Parser<BopParameters> parser()
public com.google.protobuf.Parser<BopParameters> getParserForType()
getParserForType
in interface com.google.protobuf.Message
getParserForType
in interface com.google.protobuf.MessageLite
getParserForType
in class com.google.protobuf.GeneratedMessage
public BopParameters getDefaultInstanceForType()
getDefaultInstanceForType
in interface com.google.protobuf.MessageLiteOrBuilder
getDefaultInstanceForType
in interface com.google.protobuf.MessageOrBuilder
Copyright © 2025. All rights reserved.