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
    Inherited Members
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
    
    
    
    
    
    
    
    
    
    
    
    
   
  Static Methods
  
  
  getDescriptor()
  
    public static final Descriptors.Descriptor getDescriptor()
   
  
  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>
 | 
    
  
  
  
  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;
 
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;
 
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;
 
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;
 
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;
 
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
 | 
    
  
  
  
  addRepeatedField(Descriptors.FieldDescriptor field, Object value)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
   
  
  
  Overrides
  
  
  build()
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult build()
   
  
  
  buildPartial()
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult buildPartial()
   
  
  
  clear()
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clear()
   
  
  Overrides
  
  
  clearField(Descriptors.FieldDescriptor field)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearField(Descriptors.FieldDescriptor field)
   
  
  
  Overrides
  
  
  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;
 
clearOneof(Descriptors.OneofDescriptor oneof)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
   
  
  
  Overrides
  
  
  clone()
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clone()
   
  
  Overrides
  
  
  getDefaultInstanceForType()
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult getDefaultInstanceForType()
   
  
  
  getDescriptorForType()
  
    public Descriptors.Descriptor getDescriptorForType()
   
  
  Overrides
  
  
  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
 | 
    
  
  
  
  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
 | 
    
  
  
  
  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;
 
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;
 
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
 | 
    
  
  
  
  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()
   
  
  Overrides
  
  
  isInitialized()
  
    public final boolean isInitialized()
   
  
  Overrides
  
  
  mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)
   
  
  
  
  
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
   
  
  
  Overrides
  
  
  
  mergeFrom(Message other)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(Message other)
   
  
    
      
        | Parameter | 
      
        | Name | Description | 
      
        | other | Message
 | 
    
  
  
  Overrides
  
  
  mergeUnknownFields(UnknownFieldSet unknownFields)
  
    public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
   
  
  
  Overrides
  
  
  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
 | 
    
  
  
  
  setField(Descriptors.FieldDescriptor field, Object value)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setField(Descriptors.FieldDescriptor field, Object value)
   
  
  
  Overrides
  
  
  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;
 
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;
 
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
  
    public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
   
  
  
  Overrides
  
  
  setUnknownFields(UnknownFieldSet unknownFields)
  
    public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
   
  
  
  Overrides