Class AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder (3.10.0)

Version 3.10.0

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public static final class AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder extends GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder> implements AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilder

Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.

Protobuf type google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Implements

AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns

Type	Description
Descriptor

Methods

addAllKMapEstimationHistogram(Iterable<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> values)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addAllKMapEstimationHistogram(Iterable<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> values)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
values	Iterable<? extends com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket>

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
value	AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
builderForValue	AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters

Name	Description
index	int
value	AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters

Name	Description
index	int
builderForValue	AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogramBuilder()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder addKMapEstimationHistogramBuilder()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

addKMapEstimationHistogramBuilder(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder addKMapEstimationHistogramBuilder(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
index	int

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult build()

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult

buildPartial()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult buildPartial()

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult

clear()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clear()

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearKMapEstimationHistogram()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearKMapEstimationHistogram()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clone()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clone()

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult getDefaultInstanceForType()

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getKMapEstimationHistogram(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket getKMapEstimationHistogram(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
index	int

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket

getKMapEstimationHistogramBuilder(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder getKMapEstimationHistogramBuilder(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
index	int

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

getKMapEstimationHistogramBuilderList()

public List<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder> getKMapEstimationHistogramBuilderList()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns

Type	Description
List<Builder>

getKMapEstimationHistogramCount()

public int getKMapEstimationHistogramCount()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns

Type	Description
int

getKMapEstimationHistogramList()

public List<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> getKMapEstimationHistogramList()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns

Type	Description
List<KMapEstimationHistogramBucket>

getKMapEstimationHistogramOrBuilder(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder getKMapEstimationHistogramOrBuilder(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
index	int

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder

getKMapEstimationHistogramOrBuilderList()

public List<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder> getKMapEstimationHistogramOrBuilderList()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns

Type	Description
List<? extends com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder>

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns

Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns

Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)

Parameter

Name	Description
other	AnalyzeDataSourceRiskDetails.KMapEstimationResult

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeKMapEstimationHistogram(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder removeKMapEstimationHistogram(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter

Name	Description
index	int

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters

Name	Description
index	int
value	AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters

Name	Description
index	int
builderForValue	AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)