org.tensorflow.metadata.v0.CommonStatistics Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/statistics.proto
// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;
/**
*
* Common statistics for all feature types. Statistics counting number of values
* (i.e., min_num_values, max_num_values, avg_num_values, and tot_num_values)
* include NaNs.
*
*
* Protobuf type {@code tensorflow.metadata.v0.CommonStatistics}
*/
public final class CommonStatistics extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.CommonStatistics)
CommonStatisticsOrBuilder {
private static final long serialVersionUID = 0L;
// Use CommonStatistics.newBuilder() to construct.
private CommonStatistics(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private CommonStatistics() {
presenceAndValencyStats_ = java.util.Collections.emptyList();
weightedPresenceAndValencyStats_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new CommonStatistics();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_CommonStatistics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_CommonStatistics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.CommonStatistics.class, org.tensorflow.metadata.v0.CommonStatistics.Builder.class);
}
private int bitField0_;
public static final int NUM_NON_MISSING_FIELD_NUMBER = 1;
private long numNonMissing_ = 0L;
/**
*
* The number of examples that include this feature. Note that this includes
* examples that contain this feature with an explicitly empty list of values,
* which may be permitted for variable length features.
*
*
* uint64 num_non_missing = 1;
* @return The numNonMissing.
*/
@java.lang.Override
public long getNumNonMissing() {
return numNonMissing_;
}
public static final int NUM_MISSING_FIELD_NUMBER = 2;
private long numMissing_ = 0L;
/**
*
* The number of examples missing this feature.
*
*
* uint64 num_missing = 2;
* @return The numMissing.
*/
@java.lang.Override
public long getNumMissing() {
return numMissing_;
}
public static final int MIN_NUM_VALUES_FIELD_NUMBER = 3;
private long minNumValues_ = 0L;
/**
*
* The minimum number of values in a single example for this feature.
*
*
* uint64 min_num_values = 3;
* @return The minNumValues.
*/
@java.lang.Override
public long getMinNumValues() {
return minNumValues_;
}
public static final int MAX_NUM_VALUES_FIELD_NUMBER = 4;
private long maxNumValues_ = 0L;
/**
*
* The maximum number of values in a single example for this feature.
*
*
* uint64 max_num_values = 4;
* @return The maxNumValues.
*/
@java.lang.Override
public long getMaxNumValues() {
return maxNumValues_;
}
public static final int AVG_NUM_VALUES_FIELD_NUMBER = 5;
private float avgNumValues_ = 0F;
/**
*
* The average number of values in a single example for this feature.
*
*
* float avg_num_values = 5;
* @return The avgNumValues.
*/
@java.lang.Override
public float getAvgNumValues() {
return avgNumValues_;
}
public static final int TOT_NUM_VALUES_FIELD_NUMBER = 8;
private long totNumValues_ = 0L;
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* uint64 tot_num_values = 8;
* @return The totNumValues.
*/
@java.lang.Override
public long getTotNumValues() {
return totNumValues_;
}
public static final int NUM_VALUES_HISTOGRAM_FIELD_NUMBER = 6;
private org.tensorflow.metadata.v0.Histogram numValuesHistogram_;
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
* @return Whether the numValuesHistogram field is set.
*/
@java.lang.Override
public boolean hasNumValuesHistogram() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
* @return The numValuesHistogram.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.Histogram getNumValuesHistogram() {
return numValuesHistogram_ == null ? org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : numValuesHistogram_;
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.HistogramOrBuilder getNumValuesHistogramOrBuilder() {
return numValuesHistogram_ == null ? org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : numValuesHistogram_;
}
public static final int WEIGHTED_COMMON_STATS_FIELD_NUMBER = 7;
private org.tensorflow.metadata.v0.WeightedCommonStatistics weightedCommonStats_;
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
* @return Whether the weightedCommonStats field is set.
*/
@java.lang.Override
public boolean hasWeightedCommonStats() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
* @return The weightedCommonStats.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.WeightedCommonStatistics getWeightedCommonStats() {
return weightedCommonStats_ == null ? org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance() : weightedCommonStats_;
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder getWeightedCommonStatsOrBuilder() {
return weightedCommonStats_ == null ? org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance() : weightedCommonStats_;
}
public static final int FEATURE_LIST_LENGTH_HISTOGRAM_FIELD_NUMBER = 9;
private org.tensorflow.metadata.v0.Histogram featureListLengthHistogram_;
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
* @return Whether the featureListLengthHistogram field is set.
*/
@java.lang.Override
public boolean hasFeatureListLengthHistogram() {
return ((bitField0_ & 0x00000004) != 0);
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
* @return The featureListLengthHistogram.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.Histogram getFeatureListLengthHistogram() {
return featureListLengthHistogram_ == null ? org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : featureListLengthHistogram_;
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.HistogramOrBuilder getFeatureListLengthHistogramOrBuilder() {
return featureListLengthHistogram_ == null ? org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : featureListLengthHistogram_;
}
public static final int PRESENCE_AND_VALENCY_STATS_FIELD_NUMBER = 10;
@SuppressWarnings("serial")
private java.util.List presenceAndValencyStats_;
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
@java.lang.Override
public java.util.List getPresenceAndValencyStatsList() {
return presenceAndValencyStats_;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
@java.lang.Override
public java.util.List
getPresenceAndValencyStatsOrBuilderList() {
return presenceAndValencyStats_;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
@java.lang.Override
public int getPresenceAndValencyStatsCount() {
return presenceAndValencyStats_.size();
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics getPresenceAndValencyStats(int index) {
return presenceAndValencyStats_.get(index);
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.PresenceAndValencyStatisticsOrBuilder getPresenceAndValencyStatsOrBuilder(
int index) {
return presenceAndValencyStats_.get(index);
}
public static final int WEIGHTED_PRESENCE_AND_VALENCY_STATS_FIELD_NUMBER = 11;
@SuppressWarnings("serial")
private java.util.List weightedPresenceAndValencyStats_;
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
@java.lang.Override
public java.util.List getWeightedPresenceAndValencyStatsList() {
return weightedPresenceAndValencyStats_;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
@java.lang.Override
public java.util.List
getWeightedPresenceAndValencyStatsOrBuilderList() {
return weightedPresenceAndValencyStats_;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
@java.lang.Override
public int getWeightedPresenceAndValencyStatsCount() {
return weightedPresenceAndValencyStats_.size();
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.WeightedCommonStatistics getWeightedPresenceAndValencyStats(int index) {
return weightedPresenceAndValencyStats_.get(index);
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
@java.lang.Override
public org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder getWeightedPresenceAndValencyStatsOrBuilder(
int index) {
return weightedPresenceAndValencyStats_.get(index);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
if (numNonMissing_ != 0L) {
output.writeUInt64(1, numNonMissing_);
}
if (numMissing_ != 0L) {
output.writeUInt64(2, numMissing_);
}
if (minNumValues_ != 0L) {
output.writeUInt64(3, minNumValues_);
}
if (maxNumValues_ != 0L) {
output.writeUInt64(4, maxNumValues_);
}
if (java.lang.Float.floatToRawIntBits(avgNumValues_) != 0) {
output.writeFloat(5, avgNumValues_);
}
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(6, getNumValuesHistogram());
}
if (((bitField0_ & 0x00000002) != 0)) {
output.writeMessage(7, getWeightedCommonStats());
}
if (totNumValues_ != 0L) {
output.writeUInt64(8, totNumValues_);
}
if (((bitField0_ & 0x00000004) != 0)) {
output.writeMessage(9, getFeatureListLengthHistogram());
}
for (int i = 0; i < presenceAndValencyStats_.size(); i++) {
output.writeMessage(10, presenceAndValencyStats_.get(i));
}
for (int i = 0; i < weightedPresenceAndValencyStats_.size(); i++) {
output.writeMessage(11, weightedPresenceAndValencyStats_.get(i));
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (numNonMissing_ != 0L) {
size += com.google.protobuf.CodedOutputStream
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if (numMissing_ != 0L) {
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if (minNumValues_ != 0L) {
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size += com.google.protobuf.CodedOutputStream
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if (((bitField0_ & 0x00000001) != 0)) {
size += com.google.protobuf.CodedOutputStream
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if (((bitField0_ & 0x00000002) != 0)) {
size += com.google.protobuf.CodedOutputStream
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if (totNumValues_ != 0L) {
size += com.google.protobuf.CodedOutputStream
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}
if (((bitField0_ & 0x00000004) != 0)) {
size += com.google.protobuf.CodedOutputStream
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size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof org.tensorflow.metadata.v0.CommonStatistics)) {
return super.equals(obj);
}
org.tensorflow.metadata.v0.CommonStatistics other = (org.tensorflow.metadata.v0.CommonStatistics) obj;
if (getNumNonMissing()
!= other.getNumNonMissing()) return false;
if (getNumMissing()
!= other.getNumMissing()) return false;
if (getMinNumValues()
!= other.getMinNumValues()) return false;
if (getMaxNumValues()
!= other.getMaxNumValues()) return false;
if (java.lang.Float.floatToIntBits(getAvgNumValues())
!= java.lang.Float.floatToIntBits(
other.getAvgNumValues())) return false;
if (getTotNumValues()
!= other.getTotNumValues()) return false;
if (hasNumValuesHistogram() != other.hasNumValuesHistogram()) return false;
if (hasNumValuesHistogram()) {
if (!getNumValuesHistogram()
.equals(other.getNumValuesHistogram())) return false;
}
if (hasWeightedCommonStats() != other.hasWeightedCommonStats()) return false;
if (hasWeightedCommonStats()) {
if (!getWeightedCommonStats()
.equals(other.getWeightedCommonStats())) return false;
}
if (hasFeatureListLengthHistogram() != other.hasFeatureListLengthHistogram()) return false;
if (hasFeatureListLengthHistogram()) {
if (!getFeatureListLengthHistogram()
.equals(other.getFeatureListLengthHistogram())) return false;
}
if (!getPresenceAndValencyStatsList()
.equals(other.getPresenceAndValencyStatsList())) return false;
if (!getWeightedPresenceAndValencyStatsList()
.equals(other.getWeightedPresenceAndValencyStatsList())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + NUM_NON_MISSING_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getNumNonMissing());
hash = (37 * hash) + NUM_MISSING_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getNumMissing());
hash = (37 * hash) + MIN_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getMinNumValues());
hash = (37 * hash) + MAX_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getMaxNumValues());
hash = (37 * hash) + AVG_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(
getAvgNumValues());
hash = (37 * hash) + TOT_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getTotNumValues());
if (hasNumValuesHistogram()) {
hash = (37 * hash) + NUM_VALUES_HISTOGRAM_FIELD_NUMBER;
hash = (53 * hash) + getNumValuesHistogram().hashCode();
}
if (hasWeightedCommonStats()) {
hash = (37 * hash) + WEIGHTED_COMMON_STATS_FIELD_NUMBER;
hash = (53 * hash) + getWeightedCommonStats().hashCode();
}
if (hasFeatureListLengthHistogram()) {
hash = (37 * hash) + FEATURE_LIST_LENGTH_HISTOGRAM_FIELD_NUMBER;
hash = (53 * hash) + getFeatureListLengthHistogram().hashCode();
}
if (getPresenceAndValencyStatsCount() > 0) {
hash = (37 * hash) + PRESENCE_AND_VALENCY_STATS_FIELD_NUMBER;
hash = (53 * hash) + getPresenceAndValencyStatsList().hashCode();
}
if (getWeightedPresenceAndValencyStatsCount() > 0) {
hash = (37 * hash) + WEIGHTED_PRESENCE_AND_VALENCY_STATS_FIELD_NUMBER;
hash = (53 * hash) + getWeightedPresenceAndValencyStatsList().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(byte[] data)
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(java.io.InputStream input)
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static org.tensorflow.metadata.v0.CommonStatistics parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(org.tensorflow.metadata.v0.CommonStatistics prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
* Common statistics for all feature types. Statistics counting number of values
* (i.e., min_num_values, max_num_values, avg_num_values, and tot_num_values)
* include NaNs.
*
*
* Protobuf type {@code tensorflow.metadata.v0.CommonStatistics}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.CommonStatistics)
org.tensorflow.metadata.v0.CommonStatisticsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_CommonStatistics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_CommonStatistics_fieldAccessorTable
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org.tensorflow.metadata.v0.CommonStatistics.class, org.tensorflow.metadata.v0.CommonStatistics.Builder.class);
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// Construct using org.tensorflow.metadata.v0.CommonStatistics.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
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private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3
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getNumValuesHistogramFieldBuilder();
getWeightedCommonStatsFieldBuilder();
getFeatureListLengthHistogramFieldBuilder();
getPresenceAndValencyStatsFieldBuilder();
getWeightedPresenceAndValencyStatsFieldBuilder();
}
}
@java.lang.Override
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numMissing_ = 0L;
minNumValues_ = 0L;
maxNumValues_ = 0L;
avgNumValues_ = 0F;
totNumValues_ = 0L;
numValuesHistogram_ = null;
if (numValuesHistogramBuilder_ != null) {
numValuesHistogramBuilder_.dispose();
numValuesHistogramBuilder_ = null;
}
weightedCommonStats_ = null;
if (weightedCommonStatsBuilder_ != null) {
weightedCommonStatsBuilder_.dispose();
weightedCommonStatsBuilder_ = null;
}
featureListLengthHistogram_ = null;
if (featureListLengthHistogramBuilder_ != null) {
featureListLengthHistogramBuilder_.dispose();
featureListLengthHistogramBuilder_ = null;
}
if (presenceAndValencyStatsBuilder_ == null) {
presenceAndValencyStats_ = java.util.Collections.emptyList();
} else {
presenceAndValencyStats_ = null;
presenceAndValencyStatsBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000200);
if (weightedPresenceAndValencyStatsBuilder_ == null) {
weightedPresenceAndValencyStats_ = java.util.Collections.emptyList();
} else {
weightedPresenceAndValencyStats_ = null;
weightedPresenceAndValencyStatsBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000400);
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_CommonStatistics_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.CommonStatistics getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.CommonStatistics.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.CommonStatistics build() {
org.tensorflow.metadata.v0.CommonStatistics result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.CommonStatistics buildPartial() {
org.tensorflow.metadata.v0.CommonStatistics result = new org.tensorflow.metadata.v0.CommonStatistics(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartialRepeatedFields(org.tensorflow.metadata.v0.CommonStatistics result) {
if (presenceAndValencyStatsBuilder_ == null) {
if (((bitField0_ & 0x00000200) != 0)) {
presenceAndValencyStats_ = java.util.Collections.unmodifiableList(presenceAndValencyStats_);
bitField0_ = (bitField0_ & ~0x00000200);
}
result.presenceAndValencyStats_ = presenceAndValencyStats_;
} else {
result.presenceAndValencyStats_ = presenceAndValencyStatsBuilder_.build();
}
if (weightedPresenceAndValencyStatsBuilder_ == null) {
if (((bitField0_ & 0x00000400) != 0)) {
weightedPresenceAndValencyStats_ = java.util.Collections.unmodifiableList(weightedPresenceAndValencyStats_);
bitField0_ = (bitField0_ & ~0x00000400);
}
result.weightedPresenceAndValencyStats_ = weightedPresenceAndValencyStats_;
} else {
result.weightedPresenceAndValencyStats_ = weightedPresenceAndValencyStatsBuilder_.build();
}
}
private void buildPartial0(org.tensorflow.metadata.v0.CommonStatistics result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.numNonMissing_ = numNonMissing_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.numMissing_ = numMissing_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.minNumValues_ = minNumValues_;
}
if (((from_bitField0_ & 0x00000008) != 0)) {
result.maxNumValues_ = maxNumValues_;
}
if (((from_bitField0_ & 0x00000010) != 0)) {
result.avgNumValues_ = avgNumValues_;
}
if (((from_bitField0_ & 0x00000020) != 0)) {
result.totNumValues_ = totNumValues_;
}
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000040) != 0)) {
result.numValuesHistogram_ = numValuesHistogramBuilder_ == null
? numValuesHistogram_
: numValuesHistogramBuilder_.build();
to_bitField0_ |= 0x00000001;
}
if (((from_bitField0_ & 0x00000080) != 0)) {
result.weightedCommonStats_ = weightedCommonStatsBuilder_ == null
? weightedCommonStats_
: weightedCommonStatsBuilder_.build();
to_bitField0_ |= 0x00000002;
}
if (((from_bitField0_ & 0x00000100) != 0)) {
result.featureListLengthHistogram_ = featureListLengthHistogramBuilder_ == null
? featureListLengthHistogram_
: featureListLengthHistogramBuilder_.build();
to_bitField0_ |= 0x00000004;
}
result.bitField0_ |= to_bitField0_;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(
com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(
com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof org.tensorflow.metadata.v0.CommonStatistics) {
return mergeFrom((org.tensorflow.metadata.v0.CommonStatistics)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.CommonStatistics other) {
if (other == org.tensorflow.metadata.v0.CommonStatistics.getDefaultInstance()) return this;
if (other.getNumNonMissing() != 0L) {
setNumNonMissing(other.getNumNonMissing());
}
if (other.getNumMissing() != 0L) {
setNumMissing(other.getNumMissing());
}
if (other.getMinNumValues() != 0L) {
setMinNumValues(other.getMinNumValues());
}
if (other.getMaxNumValues() != 0L) {
setMaxNumValues(other.getMaxNumValues());
}
if (other.getAvgNumValues() != 0F) {
setAvgNumValues(other.getAvgNumValues());
}
if (other.getTotNumValues() != 0L) {
setTotNumValues(other.getTotNumValues());
}
if (other.hasNumValuesHistogram()) {
mergeNumValuesHistogram(other.getNumValuesHistogram());
}
if (other.hasWeightedCommonStats()) {
mergeWeightedCommonStats(other.getWeightedCommonStats());
}
if (other.hasFeatureListLengthHistogram()) {
mergeFeatureListLengthHistogram(other.getFeatureListLengthHistogram());
}
if (presenceAndValencyStatsBuilder_ == null) {
if (!other.presenceAndValencyStats_.isEmpty()) {
if (presenceAndValencyStats_.isEmpty()) {
presenceAndValencyStats_ = other.presenceAndValencyStats_;
bitField0_ = (bitField0_ & ~0x00000200);
} else {
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.addAll(other.presenceAndValencyStats_);
}
onChanged();
}
} else {
if (!other.presenceAndValencyStats_.isEmpty()) {
if (presenceAndValencyStatsBuilder_.isEmpty()) {
presenceAndValencyStatsBuilder_.dispose();
presenceAndValencyStatsBuilder_ = null;
presenceAndValencyStats_ = other.presenceAndValencyStats_;
bitField0_ = (bitField0_ & ~0x00000200);
presenceAndValencyStatsBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getPresenceAndValencyStatsFieldBuilder() : null;
} else {
presenceAndValencyStatsBuilder_.addAllMessages(other.presenceAndValencyStats_);
}
}
}
if (weightedPresenceAndValencyStatsBuilder_ == null) {
if (!other.weightedPresenceAndValencyStats_.isEmpty()) {
if (weightedPresenceAndValencyStats_.isEmpty()) {
weightedPresenceAndValencyStats_ = other.weightedPresenceAndValencyStats_;
bitField0_ = (bitField0_ & ~0x00000400);
} else {
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.addAll(other.weightedPresenceAndValencyStats_);
}
onChanged();
}
} else {
if (!other.weightedPresenceAndValencyStats_.isEmpty()) {
if (weightedPresenceAndValencyStatsBuilder_.isEmpty()) {
weightedPresenceAndValencyStatsBuilder_.dispose();
weightedPresenceAndValencyStatsBuilder_ = null;
weightedPresenceAndValencyStats_ = other.weightedPresenceAndValencyStats_;
bitField0_ = (bitField0_ & ~0x00000400);
weightedPresenceAndValencyStatsBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
getWeightedPresenceAndValencyStatsFieldBuilder() : null;
} else {
weightedPresenceAndValencyStatsBuilder_.addAllMessages(other.weightedPresenceAndValencyStats_);
}
}
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8: {
numNonMissing_ = input.readUInt64();
bitField0_ |= 0x00000001;
break;
} // case 8
case 16: {
numMissing_ = input.readUInt64();
bitField0_ |= 0x00000002;
break;
} // case 16
case 24: {
minNumValues_ = input.readUInt64();
bitField0_ |= 0x00000004;
break;
} // case 24
case 32: {
maxNumValues_ = input.readUInt64();
bitField0_ |= 0x00000008;
break;
} // case 32
case 45: {
avgNumValues_ = input.readFloat();
bitField0_ |= 0x00000010;
break;
} // case 45
case 50: {
input.readMessage(
getNumValuesHistogramFieldBuilder().getBuilder(),
extensionRegistry);
bitField0_ |= 0x00000040;
break;
} // case 50
case 58: {
input.readMessage(
getWeightedCommonStatsFieldBuilder().getBuilder(),
extensionRegistry);
bitField0_ |= 0x00000080;
break;
} // case 58
case 64: {
totNumValues_ = input.readUInt64();
bitField0_ |= 0x00000020;
break;
} // case 64
case 74: {
input.readMessage(
getFeatureListLengthHistogramFieldBuilder().getBuilder(),
extensionRegistry);
bitField0_ |= 0x00000100;
break;
} // case 74
case 82: {
org.tensorflow.metadata.v0.PresenceAndValencyStatistics m =
input.readMessage(
org.tensorflow.metadata.v0.PresenceAndValencyStatistics.parser(),
extensionRegistry);
if (presenceAndValencyStatsBuilder_ == null) {
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.add(m);
} else {
presenceAndValencyStatsBuilder_.addMessage(m);
}
break;
} // case 82
case 90: {
org.tensorflow.metadata.v0.WeightedCommonStatistics m =
input.readMessage(
org.tensorflow.metadata.v0.WeightedCommonStatistics.parser(),
extensionRegistry);
if (weightedPresenceAndValencyStatsBuilder_ == null) {
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.add(m);
} else {
weightedPresenceAndValencyStatsBuilder_.addMessage(m);
}
break;
} // case 90
default: {
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private long numNonMissing_ ;
/**
*
* The number of examples that include this feature. Note that this includes
* examples that contain this feature with an explicitly empty list of values,
* which may be permitted for variable length features.
*
*
* uint64 num_non_missing = 1;
* @return The numNonMissing.
*/
@java.lang.Override
public long getNumNonMissing() {
return numNonMissing_;
}
/**
*
* The number of examples that include this feature. Note that this includes
* examples that contain this feature with an explicitly empty list of values,
* which may be permitted for variable length features.
*
*
* uint64 num_non_missing = 1;
* @param value The numNonMissing to set.
* @return This builder for chaining.
*/
public Builder setNumNonMissing(long value) {
numNonMissing_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* The number of examples that include this feature. Note that this includes
* examples that contain this feature with an explicitly empty list of values,
* which may be permitted for variable length features.
*
*
* uint64 num_non_missing = 1;
* @return This builder for chaining.
*/
public Builder clearNumNonMissing() {
bitField0_ = (bitField0_ & ~0x00000001);
numNonMissing_ = 0L;
onChanged();
return this;
}
private long numMissing_ ;
/**
*
* The number of examples missing this feature.
*
*
* uint64 num_missing = 2;
* @return The numMissing.
*/
@java.lang.Override
public long getNumMissing() {
return numMissing_;
}
/**
*
* The number of examples missing this feature.
*
*
* uint64 num_missing = 2;
* @param value The numMissing to set.
* @return This builder for chaining.
*/
public Builder setNumMissing(long value) {
numMissing_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* The number of examples missing this feature.
*
*
* uint64 num_missing = 2;
* @return This builder for chaining.
*/
public Builder clearNumMissing() {
bitField0_ = (bitField0_ & ~0x00000002);
numMissing_ = 0L;
onChanged();
return this;
}
private long minNumValues_ ;
/**
*
* The minimum number of values in a single example for this feature.
*
*
* uint64 min_num_values = 3;
* @return The minNumValues.
*/
@java.lang.Override
public long getMinNumValues() {
return minNumValues_;
}
/**
*
* The minimum number of values in a single example for this feature.
*
*
* uint64 min_num_values = 3;
* @param value The minNumValues to set.
* @return This builder for chaining.
*/
public Builder setMinNumValues(long value) {
minNumValues_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* The minimum number of values in a single example for this feature.
*
*
* uint64 min_num_values = 3;
* @return This builder for chaining.
*/
public Builder clearMinNumValues() {
bitField0_ = (bitField0_ & ~0x00000004);
minNumValues_ = 0L;
onChanged();
return this;
}
private long maxNumValues_ ;
/**
*
* The maximum number of values in a single example for this feature.
*
*
* uint64 max_num_values = 4;
* @return The maxNumValues.
*/
@java.lang.Override
public long getMaxNumValues() {
return maxNumValues_;
}
/**
*
* The maximum number of values in a single example for this feature.
*
*
* uint64 max_num_values = 4;
* @param value The maxNumValues to set.
* @return This builder for chaining.
*/
public Builder setMaxNumValues(long value) {
maxNumValues_ = value;
bitField0_ |= 0x00000008;
onChanged();
return this;
}
/**
*
* The maximum number of values in a single example for this feature.
*
*
* uint64 max_num_values = 4;
* @return This builder for chaining.
*/
public Builder clearMaxNumValues() {
bitField0_ = (bitField0_ & ~0x00000008);
maxNumValues_ = 0L;
onChanged();
return this;
}
private float avgNumValues_ ;
/**
*
* The average number of values in a single example for this feature.
*
*
* float avg_num_values = 5;
* @return The avgNumValues.
*/
@java.lang.Override
public float getAvgNumValues() {
return avgNumValues_;
}
/**
*
* The average number of values in a single example for this feature.
*
*
* float avg_num_values = 5;
* @param value The avgNumValues to set.
* @return This builder for chaining.
*/
public Builder setAvgNumValues(float value) {
avgNumValues_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
/**
*
* The average number of values in a single example for this feature.
*
*
* float avg_num_values = 5;
* @return This builder for chaining.
*/
public Builder clearAvgNumValues() {
bitField0_ = (bitField0_ & ~0x00000010);
avgNumValues_ = 0F;
onChanged();
return this;
}
private long totNumValues_ ;
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* uint64 tot_num_values = 8;
* @return The totNumValues.
*/
@java.lang.Override
public long getTotNumValues() {
return totNumValues_;
}
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* uint64 tot_num_values = 8;
* @param value The totNumValues to set.
* @return This builder for chaining.
*/
public Builder setTotNumValues(long value) {
totNumValues_ = value;
bitField0_ |= 0x00000020;
onChanged();
return this;
}
/**
*
* tot_num_values = avg_num_values * num_non_missing.
* This is calculated directly, so should have less numerical error.
*
*
* uint64 tot_num_values = 8;
* @return This builder for chaining.
*/
public Builder clearTotNumValues() {
bitField0_ = (bitField0_ & ~0x00000020);
totNumValues_ = 0L;
onChanged();
return this;
}
private org.tensorflow.metadata.v0.Histogram numValuesHistogram_;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Histogram, org.tensorflow.metadata.v0.Histogram.Builder, org.tensorflow.metadata.v0.HistogramOrBuilder> numValuesHistogramBuilder_;
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
* @return Whether the numValuesHistogram field is set.
*/
public boolean hasNumValuesHistogram() {
return ((bitField0_ & 0x00000040) != 0);
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
* @return The numValuesHistogram.
*/
public org.tensorflow.metadata.v0.Histogram getNumValuesHistogram() {
if (numValuesHistogramBuilder_ == null) {
return numValuesHistogram_ == null ? org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : numValuesHistogram_;
} else {
return numValuesHistogramBuilder_.getMessage();
}
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
public Builder setNumValuesHistogram(org.tensorflow.metadata.v0.Histogram value) {
if (numValuesHistogramBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
numValuesHistogram_ = value;
} else {
numValuesHistogramBuilder_.setMessage(value);
}
bitField0_ |= 0x00000040;
onChanged();
return this;
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
public Builder setNumValuesHistogram(
org.tensorflow.metadata.v0.Histogram.Builder builderForValue) {
if (numValuesHistogramBuilder_ == null) {
numValuesHistogram_ = builderForValue.build();
} else {
numValuesHistogramBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000040;
onChanged();
return this;
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
public Builder mergeNumValuesHistogram(org.tensorflow.metadata.v0.Histogram value) {
if (numValuesHistogramBuilder_ == null) {
if (((bitField0_ & 0x00000040) != 0) &&
numValuesHistogram_ != null &&
numValuesHistogram_ != org.tensorflow.metadata.v0.Histogram.getDefaultInstance()) {
getNumValuesHistogramBuilder().mergeFrom(value);
} else {
numValuesHistogram_ = value;
}
} else {
numValuesHistogramBuilder_.mergeFrom(value);
}
if (numValuesHistogram_ != null) {
bitField0_ |= 0x00000040;
onChanged();
}
return this;
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
public Builder clearNumValuesHistogram() {
bitField0_ = (bitField0_ & ~0x00000040);
numValuesHistogram_ = null;
if (numValuesHistogramBuilder_ != null) {
numValuesHistogramBuilder_.dispose();
numValuesHistogramBuilder_ = null;
}
onChanged();
return this;
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
public org.tensorflow.metadata.v0.Histogram.Builder getNumValuesHistogramBuilder() {
bitField0_ |= 0x00000040;
onChanged();
return getNumValuesHistogramFieldBuilder().getBuilder();
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
public org.tensorflow.metadata.v0.HistogramOrBuilder getNumValuesHistogramOrBuilder() {
if (numValuesHistogramBuilder_ != null) {
return numValuesHistogramBuilder_.getMessageOrBuilder();
} else {
return numValuesHistogram_ == null ?
org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : numValuesHistogram_;
}
}
/**
*
* The quantiles histogram for the number of values in this feature.
*
*
* .tensorflow.metadata.v0.Histogram num_values_histogram = 6;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Histogram, org.tensorflow.metadata.v0.Histogram.Builder, org.tensorflow.metadata.v0.HistogramOrBuilder>
getNumValuesHistogramFieldBuilder() {
if (numValuesHistogramBuilder_ == null) {
numValuesHistogramBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Histogram, org.tensorflow.metadata.v0.Histogram.Builder, org.tensorflow.metadata.v0.HistogramOrBuilder>(
getNumValuesHistogram(),
getParentForChildren(),
isClean());
numValuesHistogram_ = null;
}
return numValuesHistogramBuilder_;
}
private org.tensorflow.metadata.v0.WeightedCommonStatistics weightedCommonStats_;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.WeightedCommonStatistics, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder, org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder> weightedCommonStatsBuilder_;
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
* @return Whether the weightedCommonStats field is set.
*/
public boolean hasWeightedCommonStats() {
return ((bitField0_ & 0x00000080) != 0);
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
* @return The weightedCommonStats.
*/
public org.tensorflow.metadata.v0.WeightedCommonStatistics getWeightedCommonStats() {
if (weightedCommonStatsBuilder_ == null) {
return weightedCommonStats_ == null ? org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance() : weightedCommonStats_;
} else {
return weightedCommonStatsBuilder_.getMessage();
}
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
public Builder setWeightedCommonStats(org.tensorflow.metadata.v0.WeightedCommonStatistics value) {
if (weightedCommonStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
weightedCommonStats_ = value;
} else {
weightedCommonStatsBuilder_.setMessage(value);
}
bitField0_ |= 0x00000080;
onChanged();
return this;
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
public Builder setWeightedCommonStats(
org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder builderForValue) {
if (weightedCommonStatsBuilder_ == null) {
weightedCommonStats_ = builderForValue.build();
} else {
weightedCommonStatsBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000080;
onChanged();
return this;
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
public Builder mergeWeightedCommonStats(org.tensorflow.metadata.v0.WeightedCommonStatistics value) {
if (weightedCommonStatsBuilder_ == null) {
if (((bitField0_ & 0x00000080) != 0) &&
weightedCommonStats_ != null &&
weightedCommonStats_ != org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance()) {
getWeightedCommonStatsBuilder().mergeFrom(value);
} else {
weightedCommonStats_ = value;
}
} else {
weightedCommonStatsBuilder_.mergeFrom(value);
}
if (weightedCommonStats_ != null) {
bitField0_ |= 0x00000080;
onChanged();
}
return this;
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
public Builder clearWeightedCommonStats() {
bitField0_ = (bitField0_ & ~0x00000080);
weightedCommonStats_ = null;
if (weightedCommonStatsBuilder_ != null) {
weightedCommonStatsBuilder_.dispose();
weightedCommonStatsBuilder_ = null;
}
onChanged();
return this;
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder getWeightedCommonStatsBuilder() {
bitField0_ |= 0x00000080;
onChanged();
return getWeightedCommonStatsFieldBuilder().getBuilder();
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder getWeightedCommonStatsOrBuilder() {
if (weightedCommonStatsBuilder_ != null) {
return weightedCommonStatsBuilder_.getMessageOrBuilder();
} else {
return weightedCommonStats_ == null ?
org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance() : weightedCommonStats_;
}
}
/**
* .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.WeightedCommonStatistics, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder, org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder>
getWeightedCommonStatsFieldBuilder() {
if (weightedCommonStatsBuilder_ == null) {
weightedCommonStatsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.WeightedCommonStatistics, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder, org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder>(
getWeightedCommonStats(),
getParentForChildren(),
isClean());
weightedCommonStats_ = null;
}
return weightedCommonStatsBuilder_;
}
private org.tensorflow.metadata.v0.Histogram featureListLengthHistogram_;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Histogram, org.tensorflow.metadata.v0.Histogram.Builder, org.tensorflow.metadata.v0.HistogramOrBuilder> featureListLengthHistogramBuilder_;
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
* @return Whether the featureListLengthHistogram field is set.
*/
public boolean hasFeatureListLengthHistogram() {
return ((bitField0_ & 0x00000100) != 0);
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
* @return The featureListLengthHistogram.
*/
public org.tensorflow.metadata.v0.Histogram getFeatureListLengthHistogram() {
if (featureListLengthHistogramBuilder_ == null) {
return featureListLengthHistogram_ == null ? org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : featureListLengthHistogram_;
} else {
return featureListLengthHistogramBuilder_.getMessage();
}
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
public Builder setFeatureListLengthHistogram(org.tensorflow.metadata.v0.Histogram value) {
if (featureListLengthHistogramBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
featureListLengthHistogram_ = value;
} else {
featureListLengthHistogramBuilder_.setMessage(value);
}
bitField0_ |= 0x00000100;
onChanged();
return this;
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
public Builder setFeatureListLengthHistogram(
org.tensorflow.metadata.v0.Histogram.Builder builderForValue) {
if (featureListLengthHistogramBuilder_ == null) {
featureListLengthHistogram_ = builderForValue.build();
} else {
featureListLengthHistogramBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000100;
onChanged();
return this;
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
public Builder mergeFeatureListLengthHistogram(org.tensorflow.metadata.v0.Histogram value) {
if (featureListLengthHistogramBuilder_ == null) {
if (((bitField0_ & 0x00000100) != 0) &&
featureListLengthHistogram_ != null &&
featureListLengthHistogram_ != org.tensorflow.metadata.v0.Histogram.getDefaultInstance()) {
getFeatureListLengthHistogramBuilder().mergeFrom(value);
} else {
featureListLengthHistogram_ = value;
}
} else {
featureListLengthHistogramBuilder_.mergeFrom(value);
}
if (featureListLengthHistogram_ != null) {
bitField0_ |= 0x00000100;
onChanged();
}
return this;
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
public Builder clearFeatureListLengthHistogram() {
bitField0_ = (bitField0_ & ~0x00000100);
featureListLengthHistogram_ = null;
if (featureListLengthHistogramBuilder_ != null) {
featureListLengthHistogramBuilder_.dispose();
featureListLengthHistogramBuilder_ = null;
}
onChanged();
return this;
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
public org.tensorflow.metadata.v0.Histogram.Builder getFeatureListLengthHistogramBuilder() {
bitField0_ |= 0x00000100;
onChanged();
return getFeatureListLengthHistogramFieldBuilder().getBuilder();
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
public org.tensorflow.metadata.v0.HistogramOrBuilder getFeatureListLengthHistogramOrBuilder() {
if (featureListLengthHistogramBuilder_ != null) {
return featureListLengthHistogramBuilder_.getMessageOrBuilder();
} else {
return featureListLengthHistogram_ == null ?
org.tensorflow.metadata.v0.Histogram.getDefaultInstance() : featureListLengthHistogram_;
}
}
/**
*
* The histogram for the number of features in the feature list (only set if
* this feature is a non-context feature from a tf.SequenceExample).
* This is different from num_values_histogram, as num_values_histogram tracks
* the count of all values for a feature in an example, whereas this tracks
* the length of the feature list for this feature in an example (where each
* feature list can contain multiple values).
*
*
* .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Histogram, org.tensorflow.metadata.v0.Histogram.Builder, org.tensorflow.metadata.v0.HistogramOrBuilder>
getFeatureListLengthHistogramFieldBuilder() {
if (featureListLengthHistogramBuilder_ == null) {
featureListLengthHistogramBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.metadata.v0.Histogram, org.tensorflow.metadata.v0.Histogram.Builder, org.tensorflow.metadata.v0.HistogramOrBuilder>(
getFeatureListLengthHistogram(),
getParentForChildren(),
isClean());
featureListLengthHistogram_ = null;
}
return featureListLengthHistogramBuilder_;
}
private java.util.List presenceAndValencyStats_ =
java.util.Collections.emptyList();
private void ensurePresenceAndValencyStatsIsMutable() {
if (!((bitField0_ & 0x00000200) != 0)) {
presenceAndValencyStats_ = new java.util.ArrayList(presenceAndValencyStats_);
bitField0_ |= 0x00000200;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.PresenceAndValencyStatistics, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder, org.tensorflow.metadata.v0.PresenceAndValencyStatisticsOrBuilder> presenceAndValencyStatsBuilder_;
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public java.util.List getPresenceAndValencyStatsList() {
if (presenceAndValencyStatsBuilder_ == null) {
return java.util.Collections.unmodifiableList(presenceAndValencyStats_);
} else {
return presenceAndValencyStatsBuilder_.getMessageList();
}
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public int getPresenceAndValencyStatsCount() {
if (presenceAndValencyStatsBuilder_ == null) {
return presenceAndValencyStats_.size();
} else {
return presenceAndValencyStatsBuilder_.getCount();
}
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics getPresenceAndValencyStats(int index) {
if (presenceAndValencyStatsBuilder_ == null) {
return presenceAndValencyStats_.get(index);
} else {
return presenceAndValencyStatsBuilder_.getMessage(index);
}
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder setPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.PresenceAndValencyStatistics value) {
if (presenceAndValencyStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.set(index, value);
onChanged();
} else {
presenceAndValencyStatsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder setPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder builderForValue) {
if (presenceAndValencyStatsBuilder_ == null) {
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.set(index, builderForValue.build());
onChanged();
} else {
presenceAndValencyStatsBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder addPresenceAndValencyStats(org.tensorflow.metadata.v0.PresenceAndValencyStatistics value) {
if (presenceAndValencyStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.add(value);
onChanged();
} else {
presenceAndValencyStatsBuilder_.addMessage(value);
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder addPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.PresenceAndValencyStatistics value) {
if (presenceAndValencyStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.add(index, value);
onChanged();
} else {
presenceAndValencyStatsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder addPresenceAndValencyStats(
org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder builderForValue) {
if (presenceAndValencyStatsBuilder_ == null) {
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.add(builderForValue.build());
onChanged();
} else {
presenceAndValencyStatsBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder addPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder builderForValue) {
if (presenceAndValencyStatsBuilder_ == null) {
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.add(index, builderForValue.build());
onChanged();
} else {
presenceAndValencyStatsBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder addAllPresenceAndValencyStats(
java.lang.Iterable values) {
if (presenceAndValencyStatsBuilder_ == null) {
ensurePresenceAndValencyStatsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, presenceAndValencyStats_);
onChanged();
} else {
presenceAndValencyStatsBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder clearPresenceAndValencyStats() {
if (presenceAndValencyStatsBuilder_ == null) {
presenceAndValencyStats_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000200);
onChanged();
} else {
presenceAndValencyStatsBuilder_.clear();
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public Builder removePresenceAndValencyStats(int index) {
if (presenceAndValencyStatsBuilder_ == null) {
ensurePresenceAndValencyStatsIsMutable();
presenceAndValencyStats_.remove(index);
onChanged();
} else {
presenceAndValencyStatsBuilder_.remove(index);
}
return this;
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder getPresenceAndValencyStatsBuilder(
int index) {
return getPresenceAndValencyStatsFieldBuilder().getBuilder(index);
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public org.tensorflow.metadata.v0.PresenceAndValencyStatisticsOrBuilder getPresenceAndValencyStatsOrBuilder(
int index) {
if (presenceAndValencyStatsBuilder_ == null) {
return presenceAndValencyStats_.get(index); } else {
return presenceAndValencyStatsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public java.util.List
getPresenceAndValencyStatsOrBuilderList() {
if (presenceAndValencyStatsBuilder_ != null) {
return presenceAndValencyStatsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(presenceAndValencyStats_);
}
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder addPresenceAndValencyStatsBuilder() {
return getPresenceAndValencyStatsFieldBuilder().addBuilder(
org.tensorflow.metadata.v0.PresenceAndValencyStatistics.getDefaultInstance());
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder addPresenceAndValencyStatsBuilder(
int index) {
return getPresenceAndValencyStatsFieldBuilder().addBuilder(
index, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.getDefaultInstance());
}
/**
*
* Contains presence and valency stats for each nest level of the feature.
* The first item corresponds to the outermost level, and by definition,
* the stats it contains equals to the corresponding stats defined above.
* May not be populated if the feature is of nest level 1.
*
*
* repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;
*/
public java.util.List
getPresenceAndValencyStatsBuilderList() {
return getPresenceAndValencyStatsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.PresenceAndValencyStatistics, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder, org.tensorflow.metadata.v0.PresenceAndValencyStatisticsOrBuilder>
getPresenceAndValencyStatsFieldBuilder() {
if (presenceAndValencyStatsBuilder_ == null) {
presenceAndValencyStatsBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.PresenceAndValencyStatistics, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder, org.tensorflow.metadata.v0.PresenceAndValencyStatisticsOrBuilder>(
presenceAndValencyStats_,
((bitField0_ & 0x00000200) != 0),
getParentForChildren(),
isClean());
presenceAndValencyStats_ = null;
}
return presenceAndValencyStatsBuilder_;
}
private java.util.List weightedPresenceAndValencyStats_ =
java.util.Collections.emptyList();
private void ensureWeightedPresenceAndValencyStatsIsMutable() {
if (!((bitField0_ & 0x00000400) != 0)) {
weightedPresenceAndValencyStats_ = new java.util.ArrayList(weightedPresenceAndValencyStats_);
bitField0_ |= 0x00000400;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.WeightedCommonStatistics, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder, org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder> weightedPresenceAndValencyStatsBuilder_;
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public java.util.List getWeightedPresenceAndValencyStatsList() {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
return java.util.Collections.unmodifiableList(weightedPresenceAndValencyStats_);
} else {
return weightedPresenceAndValencyStatsBuilder_.getMessageList();
}
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public int getWeightedPresenceAndValencyStatsCount() {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
return weightedPresenceAndValencyStats_.size();
} else {
return weightedPresenceAndValencyStatsBuilder_.getCount();
}
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatistics getWeightedPresenceAndValencyStats(int index) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
return weightedPresenceAndValencyStats_.get(index);
} else {
return weightedPresenceAndValencyStatsBuilder_.getMessage(index);
}
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder setWeightedPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.WeightedCommonStatistics value) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.set(index, value);
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder setWeightedPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder builderForValue) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.set(index, builderForValue.build());
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder addWeightedPresenceAndValencyStats(org.tensorflow.metadata.v0.WeightedCommonStatistics value) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.add(value);
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.addMessage(value);
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder addWeightedPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.WeightedCommonStatistics value) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.add(index, value);
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder addWeightedPresenceAndValencyStats(
org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder builderForValue) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.add(builderForValue.build());
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder addWeightedPresenceAndValencyStats(
int index, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder builderForValue) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.add(index, builderForValue.build());
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder addAllWeightedPresenceAndValencyStats(
java.lang.Iterable values) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
ensureWeightedPresenceAndValencyStatsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, weightedPresenceAndValencyStats_);
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder clearWeightedPresenceAndValencyStats() {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
weightedPresenceAndValencyStats_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000400);
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.clear();
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public Builder removeWeightedPresenceAndValencyStats(int index) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
ensureWeightedPresenceAndValencyStatsIsMutable();
weightedPresenceAndValencyStats_.remove(index);
onChanged();
} else {
weightedPresenceAndValencyStatsBuilder_.remove(index);
}
return this;
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder getWeightedPresenceAndValencyStatsBuilder(
int index) {
return getWeightedPresenceAndValencyStatsFieldBuilder().getBuilder(index);
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder getWeightedPresenceAndValencyStatsOrBuilder(
int index) {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
return weightedPresenceAndValencyStats_.get(index); } else {
return weightedPresenceAndValencyStatsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public java.util.List
getWeightedPresenceAndValencyStatsOrBuilderList() {
if (weightedPresenceAndValencyStatsBuilder_ != null) {
return weightedPresenceAndValencyStatsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(weightedPresenceAndValencyStats_);
}
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder addWeightedPresenceAndValencyStatsBuilder() {
return getWeightedPresenceAndValencyStatsFieldBuilder().addBuilder(
org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance());
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder addWeightedPresenceAndValencyStatsBuilder(
int index) {
return getWeightedPresenceAndValencyStatsFieldBuilder().addBuilder(
index, org.tensorflow.metadata.v0.WeightedCommonStatistics.getDefaultInstance());
}
/**
*
* If not empty, it's parallel to presence_and_valency_stats.
*
*
* repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;
*/
public java.util.List
getWeightedPresenceAndValencyStatsBuilderList() {
return getWeightedPresenceAndValencyStatsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.WeightedCommonStatistics, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder, org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder>
getWeightedPresenceAndValencyStatsFieldBuilder() {
if (weightedPresenceAndValencyStatsBuilder_ == null) {
weightedPresenceAndValencyStatsBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.metadata.v0.WeightedCommonStatistics, org.tensorflow.metadata.v0.WeightedCommonStatistics.Builder, org.tensorflow.metadata.v0.WeightedCommonStatisticsOrBuilder>(
weightedPresenceAndValencyStats_,
((bitField0_ & 0x00000400) != 0),
getParentForChildren(),
isClean());
weightedPresenceAndValencyStats_ = null;
}
return weightedPresenceAndValencyStatsBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.metadata.v0.CommonStatistics)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.CommonStatistics)
private static final org.tensorflow.metadata.v0.CommonStatistics DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.CommonStatistics();
}
public static org.tensorflow.metadata.v0.CommonStatistics getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public CommonStatistics parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public org.tensorflow.metadata.v0.CommonStatistics getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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