com.google.ortools.linearsolver

Class MPSosConstraint.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessage.Builder<MPSosConstraint.Builder>

com.google.ortools.linearsolver.MPSosConstraint.Builder

All Implemented Interfaces:

MPSosConstraintOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable

Enclosing class:

MPSosConstraint

public static final class MPSosConstraint.Builder
extends com.google.protobuf.GeneratedMessage.Builder<MPSosConstraint.Builder>
implements MPSosConstraintOrBuilder

 Special Ordered Set (SOS) constraints of type 1 or 2.
 See https://en.wikipedia.org/wiki/Special_ordered_set
 As of 2019/04, only SCIP and Gurobi support this constraint type.
 

Protobuf type operations_research.MPSosConstraint

Method Summary

Modifier and Type	Method and Description
MPSosConstraint.Builder	addAllVarIndex(java.lang.Iterable<? extends java.lang.Integer> values) Variable index (w.r.t.
MPSosConstraint.Builder	addAllWeight(java.lang.Iterable<? extends java.lang.Double> values) Optional: SOS weights.
MPSosConstraint.Builder	addVarIndex(int value) Variable index (w.r.t.
MPSosConstraint.Builder	addWeight(double value) Optional: SOS weights.
MPSosConstraint	build()
MPSosConstraint	buildPartial()
MPSosConstraint.Builder	clear()
MPSosConstraint.Builder	clearType() optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];
MPSosConstraint.Builder	clearVarIndex() Variable index (w.r.t.
MPSosConstraint.Builder	clearWeight() Optional: SOS weights.
MPSosConstraint	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
MPSosConstraint.Type	getType() optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];
int	getVarIndex(int index) Variable index (w.r.t.
int	getVarIndexCount() Variable index (w.r.t.
java.util.List<java.lang.Integer>	getVarIndexList() Variable index (w.r.t.
double	getWeight(int index) Optional: SOS weights.
int	getWeightCount() Optional: SOS weights.
java.util.List<java.lang.Double>	getWeightList() Optional: SOS weights.
boolean	hasType() optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
MPSosConstraint.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
MPSosConstraint.Builder	mergeFrom(com.google.protobuf.Message other)
MPSosConstraint.Builder	mergeFrom(MPSosConstraint other)
MPSosConstraint.Builder	setType(MPSosConstraint.Type value) optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];
MPSosConstraint.Builder	setVarIndex(int index, int value) Variable index (w.r.t.
MPSosConstraint.Builder	setWeight(int index, double value) Optional: SOS weights.

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<MPSosConstraint.Builder>

clear

public MPSosConstraint.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessage.Builder<MPSosConstraint.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<MPSosConstraint.Builder>

getDefaultInstanceForType

public MPSosConstraint getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public MPSosConstraint build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public MPSosConstraint buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

mergeFrom

public MPSosConstraint.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<MPSosConstraint.Builder>

mergeFrom

public MPSosConstraint.Builder mergeFrom(MPSosConstraint other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<MPSosConstraint.Builder>

mergeFrom

public MPSosConstraint.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws java.io.IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<MPSosConstraint.Builder>

Throws:

java.io.IOException

hasType

public boolean hasType()

optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];

Specified by:

hasType in interface MPSosConstraintOrBuilder

Returns:

Whether the type field is set.

getType

public MPSosConstraint.Type getType()

optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];

Specified by:

getType in interface MPSosConstraintOrBuilder

Returns:

The type.

setType

public MPSosConstraint.Builder setType(MPSosConstraint.Type value)

optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];

Parameters:

value - The type to set.

Returns:

This builder for chaining.

clearType

public MPSosConstraint.Builder clearType()

optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];

Returns:

This builder for chaining.

getVarIndexList

public java.util.List<java.lang.Integer> getVarIndexList()

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Specified by:

getVarIndexList in interface MPSosConstraintOrBuilder

Returns:

A list containing the varIndex.

getVarIndexCount

public int getVarIndexCount()

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Specified by:

getVarIndexCount in interface MPSosConstraintOrBuilder

Returns:

The count of varIndex.

getVarIndex

public int getVarIndex(int index)

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Specified by:

getVarIndex in interface MPSosConstraintOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The varIndex at the given index.

setVarIndex

public MPSosConstraint.Builder setVarIndex(int index,
                                           int value)

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Parameters:

index - The index to set the value at.

value - The varIndex to set.

Returns:

This builder for chaining.

addVarIndex

public MPSosConstraint.Builder addVarIndex(int value)

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Parameters:

value - The varIndex to add.

Returns:

This builder for chaining.

addAllVarIndex

public MPSosConstraint.Builder addAllVarIndex(java.lang.Iterable<? extends java.lang.Integer> values)

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Parameters:

values - The varIndex to add.

Returns:

This builder for chaining.

clearVarIndex

public MPSosConstraint.Builder clearVarIndex()

 Variable index (w.r.t. the "variable" field of MPModelProto) of the
 variables in the SOS.
 

repeated int32 var_index = 2;

Returns:

This builder for chaining.

getWeightList

public java.util.List<java.lang.Double> getWeightList()

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Specified by:

getWeightList in interface MPSosConstraintOrBuilder

Returns:

A list containing the weight.

getWeightCount

public int getWeightCount()

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Specified by:

getWeightCount in interface MPSosConstraintOrBuilder

Returns:

The count of weight.

getWeight

public double getWeight(int index)

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Specified by:

getWeight in interface MPSosConstraintOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The weight at the given index.

setWeight

public MPSosConstraint.Builder setWeight(int index,
                                         double value)

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Parameters:

index - The index to set the value at.

value - The weight to set.

Returns:

This builder for chaining.

addWeight

public MPSosConstraint.Builder addWeight(double value)

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Parameters:

value - The weight to add.

Returns:

This builder for chaining.

addAllWeight

public MPSosConstraint.Builder addAllWeight(java.lang.Iterable<? extends java.lang.Double> values)

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Parameters:

values - The weight to add.

Returns:

This builder for chaining.

clearWeight

public MPSosConstraint.Builder clearWeight()

 Optional: SOS weights. If non-empty, must be of the same size as
 "var_index", and strictly increasing. If empty and required by the
 underlying solver, the 1..n sequence will be given as weights.
 SUBTLE: The weights can help the solver make branch-and-bound decisions
 that fit the underlying optimization model: after each LP relaxation, it
 will compute the "average weight" of the SOS variables, weighted by value
 (this is confusing: here we're using the values as weights), and the binary
 branch decision will be: is the non-zero variable above or below that?
 (weights are strictly monotonous, so the "cutoff" average weight
 corresponds to a "cutoff" index in the var_index sequence).
 

repeated double weight = 3;

Returns:

This builder for chaining.