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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResultgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitfindInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofmergeFrompublic static final Descriptors.Descriptor getDescriptor()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clear()
clear in interface Message.Builderclear in interface MessageLite.Builderclear in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface Message.BuildergetDescriptorForType in interface MessageOrBuildergetDescriptorForType in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult getDefaultInstanceForType()
getDefaultInstanceForType in interface MessageLiteOrBuildergetDefaultInstanceForType in interface MessageOrBuilderpublic AnalyzeDataSourceRiskDetails.KMapEstimationResult build()
build in interface Message.Builderbuild in interface MessageLite.Builderpublic AnalyzeDataSourceRiskDetails.KMapEstimationResult buildPartial()
buildPartial in interface Message.BuilderbuildPartial in interface MessageLite.Builderpublic AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clone()
clone in interface Message.Builderclone in interface MessageLite.Builderclone in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setField(Descriptors.FieldDescriptor field, java.lang.Object value)
setField in interface Message.BuildersetField in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearField(Descriptors.FieldDescriptor field)
clearField in interface Message.BuilderclearField in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
clearOneof in interface Message.BuilderclearOneof in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, java.lang.Object value)
setRepeatedField in interface Message.BuildersetRepeatedField in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, java.lang.Object value)
addRepeatedField in interface Message.BuilderaddRepeatedField in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(Message other)
mergeFrom in interface Message.BuildermergeFrom in class AbstractMessage.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)
public final boolean isInitialized()
isInitialized in interface MessageLiteOrBuilderisInitialized in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) throws java.io.IOException
mergeFrom in interface Message.BuildermergeFrom in interface MessageLite.BuildermergeFrom in class AbstractMessage.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>java.io.IOExceptionpublic java.util.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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;getKMapEstimationHistogramList in interface AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilderpublic 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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;getKMapEstimationHistogramCount in interface AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilderpublic 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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;getKMapEstimationHistogram in interface AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilderpublic 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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addAllKMapEstimationHistogram(java.lang.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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;getKMapEstimationHistogramOrBuilder in interface AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilderpublic java.util.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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;getKMapEstimationHistogramOrBuilderList in interface AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilderpublic 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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;public java.util.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.v2beta2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
setUnknownFields in interface Message.BuildersetUnknownFields in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
mergeUnknownFields in interface Message.BuildermergeUnknownFields in class GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder>