* The data statistics of a series of FLOAT64 values. ** * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats} */ public final class Float64Stats extends com.google.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Float64Stats) Float64StatsOrBuilder { private static final long serialVersionUID = 0L; // Use Float64Stats.newBuilder() to construct. private Float64Stats(com.google.protobuf.GeneratedMessageV3.Builder builder) { super(builder); } private Float64Stats() { quantiles_ = emptyDoubleList(); histogramBuckets_ = java.util.Collections.emptyList(); } @java.lang.Override @SuppressWarnings({"unused"}) protected java.lang.Object newInstance(UnusedPrivateParameter unused) { return new Float64Stats(); } @java.lang.Override public final com.google.protobuf.UnknownFieldSet getUnknownFields() { return this.unknownFields; } public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.automl.v1beta1.DataStatsOuterClass .internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.automl.v1beta1.DataStatsOuterClass .internal_static_google_cloud_automl_v1beta1_Float64Stats_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.automl.v1beta1.Float64Stats.class, com.google.cloud.automl.v1beta1.Float64Stats.Builder.class); } public interface HistogramBucketOrBuilder extends // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) com.google.protobuf.MessageOrBuilder { /** * * *
* The minimum value of the bucket, inclusive.
*
*
* double min = 1;
*
* @return The min.
*/
double getMin();
/**
*
*
*
* The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
* which case it's inclusive.
*
*
* double max = 2;
*
* @return The max.
*/
double getMax();
/**
*
*
*
* The number of data values that are in the bucket, i.e. are between
* min and max values.
*
*
* int64 count = 3;
*
* @return The count.
*/
long getCount();
}
/**
*
*
* * A bucket of a histogram. ** * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket} */ public static final class HistogramBucket extends com.google.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) HistogramBucketOrBuilder { private static final long serialVersionUID = 0L; // Use HistogramBucket.newBuilder() to construct. private HistogramBucket(com.google.protobuf.GeneratedMessageV3.Builder builder) { super(builder); } private HistogramBucket() {} @java.lang.Override @SuppressWarnings({"unused"}) protected java.lang.Object newInstance(UnusedPrivateParameter unused) { return new HistogramBucket(); } @java.lang.Override public final com.google.protobuf.UnknownFieldSet getUnknownFields() { return this.unknownFields; } public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return com.google.cloud.automl.v1beta1.DataStatsOuterClass .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return com.google.cloud.automl.v1beta1.DataStatsOuterClass .internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_fieldAccessorTable .ensureFieldAccessorsInitialized( com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.class, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder.class); } public static final int MIN_FIELD_NUMBER = 1; private double min_ = 0D; /** * * *
* The minimum value of the bucket, inclusive.
*
*
* double min = 1;
*
* @return The min.
*/
@java.lang.Override
public double getMin() {
return min_;
}
public static final int MAX_FIELD_NUMBER = 2;
private double max_ = 0D;
/**
*
*
*
* The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
* which case it's inclusive.
*
*
* double max = 2;
*
* @return The max.
*/
@java.lang.Override
public double getMax() {
return max_;
}
public static final int COUNT_FIELD_NUMBER = 3;
private long count_ = 0L;
/**
*
*
*
* The number of data values that are in the bucket, i.e. are between
* min and max values.
*
*
* int64 count = 3;
*
* @return The count.
*/
@java.lang.Override
public long getCount() {
return count_;
}
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 (java.lang.Double.doubleToRawLongBits(min_) != 0) {
output.writeDouble(1, min_);
}
if (java.lang.Double.doubleToRawLongBits(max_) != 0) {
output.writeDouble(2, max_);
}
if (count_ != 0L) {
output.writeInt64(3, count_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (java.lang.Double.doubleToRawLongBits(min_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, min_);
}
if (java.lang.Double.doubleToRawLongBits(max_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, max_);
}
if (count_ != 0L) {
size += com.google.protobuf.CodedOutputStream.computeInt64Size(3, count_);
}
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 com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket other =
(com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) obj;
if (java.lang.Double.doubleToLongBits(getMin())
!= java.lang.Double.doubleToLongBits(other.getMin())) return false;
if (java.lang.Double.doubleToLongBits(getMax())
!= java.lang.Double.doubleToLongBits(other.getMax())) return false;
if (getCount() != other.getCount()) 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) + MIN_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMin()));
hash = (37 * hash) + MAX_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMax()));
hash = (37 * hash) + COUNT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket 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;
}
/**
*
*
*
* A bucket of a histogram.
*
*
* Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket}
*/
public static final class Builder
extends com.google.protobuf.GeneratedMessageV3.Builder
* The minimum value of the bucket, inclusive.
*
*
* double min = 1;
*
* @return The min.
*/
@java.lang.Override
public double getMin() {
return min_;
}
/**
*
*
*
* The minimum value of the bucket, inclusive.
*
*
* double min = 1;
*
* @param value The min to set.
* @return This builder for chaining.
*/
public Builder setMin(double value) {
min_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* The minimum value of the bucket, inclusive.
*
*
* double min = 1;
*
* @return This builder for chaining.
*/
public Builder clearMin() {
bitField0_ = (bitField0_ & ~0x00000001);
min_ = 0D;
onChanged();
return this;
}
private double max_;
/**
*
*
*
* The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
* which case it's inclusive.
*
*
* double max = 2;
*
* @return The max.
*/
@java.lang.Override
public double getMax() {
return max_;
}
/**
*
*
*
* The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
* which case it's inclusive.
*
*
* double max = 2;
*
* @param value The max to set.
* @return This builder for chaining.
*/
public Builder setMax(double value) {
max_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
* which case it's inclusive.
*
*
* double max = 2;
*
* @return This builder for chaining.
*/
public Builder clearMax() {
bitField0_ = (bitField0_ & ~0x00000002);
max_ = 0D;
onChanged();
return this;
}
private long count_;
/**
*
*
*
* The number of data values that are in the bucket, i.e. are between
* min and max values.
*
*
* int64 count = 3;
*
* @return The count.
*/
@java.lang.Override
public long getCount() {
return count_;
}
/**
*
*
*
* The number of data values that are in the bucket, i.e. are between
* min and max values.
*
*
* int64 count = 3;
*
* @param value The count to set.
* @return This builder for chaining.
*/
public Builder setCount(long value) {
count_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* The number of data values that are in the bucket, i.e. are between
* min and max values.
*
*
* int64 count = 3;
*
* @return This builder for chaining.
*/
public Builder clearCount() {
bitField0_ = (bitField0_ & ~0x00000004);
count_ = 0L;
onChanged();
return this;
}
@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:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
private static final com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket();
}
public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser* The mean of the series. ** *
double mean = 1;
*
* @return The mean.
*/
@java.lang.Override
public double getMean() {
return mean_;
}
public static final int STANDARD_DEVIATION_FIELD_NUMBER = 2;
private double standardDeviation_ = 0D;
/**
*
*
* * The standard deviation of the series. ** *
double standard_deviation = 2;
*
* @return The standardDeviation.
*/
@java.lang.Override
public double getStandardDeviation() {
return standardDeviation_;
}
public static final int QUANTILES_FIELD_NUMBER = 3;
@SuppressWarnings("serial")
private com.google.protobuf.Internal.DoubleList quantiles_;
/**
*
*
* * Ordered from 0 to k k-quantile values of the data series of n values. * The value at index i is, approximately, the i*n/k-th smallest value in the * series; for i = 0 and i = k these are, respectively, the min and max * values. ** *
repeated double quantiles = 3;
*
* @return A list containing the quantiles.
*/
@java.lang.Override
public java.util.List* Ordered from 0 to k k-quantile values of the data series of n values. * The value at index i is, approximately, the i*n/k-th smallest value in the * series; for i = 0 and i = k these are, respectively, the min and max * values. ** *
repeated double quantiles = 3;
*
* @return The count of quantiles.
*/
public int getQuantilesCount() {
return quantiles_.size();
}
/**
*
*
* * Ordered from 0 to k k-quantile values of the data series of n values. * The value at index i is, approximately, the i*n/k-th smallest value in the * series; for i = 0 and i = k these are, respectively, the min and max * values. ** *
repeated double quantiles = 3;
*
* @param index The index of the element to return.
* @return The quantiles at the given index.
*/
public double getQuantiles(int index) {
return quantiles_.getDouble(index);
}
private int quantilesMemoizedSerializedSize = -1;
public static final int HISTOGRAM_BUCKETS_FIELD_NUMBER = 4;
@SuppressWarnings("serial")
private java.util.List* Histogram buckets of the data series. Sorted by the min value of the * bucket, ascendingly, and the number of the buckets is dynamically * generated. The buckets are non-overlapping and completely cover whole * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of * the last one being `"Infinity"`. ** *
repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
@java.lang.Override
public java.util.List* Histogram buckets of the data series. Sorted by the min value of the * bucket, ascendingly, and the number of the buckets is dynamically * generated. The buckets are non-overlapping and completely cover whole * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of * the last one being `"Infinity"`. ** *
repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
@java.lang.Override
public java.util.List<
? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
getHistogramBucketsOrBuilderList() {
return histogramBuckets_;
}
/**
*
*
* * Histogram buckets of the data series. Sorted by the min value of the * bucket, ascendingly, and the number of the buckets is dynamically * generated. The buckets are non-overlapping and completely cover whole * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of * the last one being `"Infinity"`. ** *
repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
@java.lang.Override
public int getHistogramBucketsCount() {
return histogramBuckets_.size();
}
/**
*
*
* * Histogram buckets of the data series. Sorted by the min value of the * bucket, ascendingly, and the number of the buckets is dynamically * generated. The buckets are non-overlapping and completely cover whole * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of * the last one being `"Infinity"`. ** *
repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(
int index) {
return histogramBuckets_.get(index);
}
/**
*
*
* * Histogram buckets of the data series. Sorted by the min value of the * bucket, ascendingly, and the number of the buckets is dynamically * generated. The buckets are non-overlapping and completely cover whole * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of * the last one being `"Infinity"`. ** *
repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
getHistogramBucketsOrBuilder(int index) {
return histogramBuckets_.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 {
getSerializedSize();
if (java.lang.Double.doubleToRawLongBits(mean_) != 0) {
output.writeDouble(1, mean_);
}
if (java.lang.Double.doubleToRawLongBits(standardDeviation_) != 0) {
output.writeDouble(2, standardDeviation_);
}
if (getQuantilesList().size() > 0) {
output.writeUInt32NoTag(26);
output.writeUInt32NoTag(quantilesMemoizedSerializedSize);
}
for (int i = 0; i < quantiles_.size(); i++) {
output.writeDoubleNoTag(quantiles_.getDouble(i));
}
for (int i = 0; i < histogramBuckets_.size(); i++) {
output.writeMessage(4, histogramBuckets_.get(i));
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (java.lang.Double.doubleToRawLongBits(mean_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(1, mean_);
}
if (java.lang.Double.doubleToRawLongBits(standardDeviation_) != 0) {
size += com.google.protobuf.CodedOutputStream.computeDoubleSize(2, standardDeviation_);
}
{
int dataSize = 0;
dataSize = 8 * getQuantilesList().size();
size += dataSize;
if (!getQuantilesList().isEmpty()) {
size += 1;
size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
}
quantilesMemoizedSerializedSize = dataSize;
}
for (int i = 0; i < histogramBuckets_.size(); i++) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(4, histogramBuckets_.get(i));
}
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 com.google.cloud.automl.v1beta1.Float64Stats)) {
return super.equals(obj);
}
com.google.cloud.automl.v1beta1.Float64Stats other =
(com.google.cloud.automl.v1beta1.Float64Stats) obj;
if (java.lang.Double.doubleToLongBits(getMean())
!= java.lang.Double.doubleToLongBits(other.getMean())) return false;
if (java.lang.Double.doubleToLongBits(getStandardDeviation())
!= java.lang.Double.doubleToLongBits(other.getStandardDeviation())) return false;
if (!getQuantilesList().equals(other.getQuantilesList())) return false;
if (!getHistogramBucketsList().equals(other.getHistogramBucketsList())) 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) + MEAN_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMean()));
hash = (37 * hash) + STANDARD_DEVIATION_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(
java.lang.Double.doubleToLongBits(getStandardDeviation()));
if (getQuantilesCount() > 0) {
hash = (37 * hash) + QUANTILES_FIELD_NUMBER;
hash = (53 * hash) + getQuantilesList().hashCode();
}
if (getHistogramBucketsCount() > 0) {
hash = (37 * hash) + HISTOGRAM_BUCKETS_FIELD_NUMBER;
hash = (53 * hash) + getHistogramBucketsList().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(com.google.cloud.automl.v1beta1.Float64Stats 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;
}
/**
*
*
* * The data statistics of a series of FLOAT64 values. ** * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats} */ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
* The mean of the series.
*
*
* double mean = 1;
*
* @return The mean.
*/
@java.lang.Override
public double getMean() {
return mean_;
}
/**
*
*
*
* The mean of the series.
*
*
* double mean = 1;
*
* @param value The mean to set.
* @return This builder for chaining.
*/
public Builder setMean(double value) {
mean_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* The mean of the series.
*
*
* double mean = 1;
*
* @return This builder for chaining.
*/
public Builder clearMean() {
bitField0_ = (bitField0_ & ~0x00000001);
mean_ = 0D;
onChanged();
return this;
}
private double standardDeviation_;
/**
*
*
*
* The standard deviation of the series.
*
*
* double standard_deviation = 2;
*
* @return The standardDeviation.
*/
@java.lang.Override
public double getStandardDeviation() {
return standardDeviation_;
}
/**
*
*
*
* The standard deviation of the series.
*
*
* double standard_deviation = 2;
*
* @param value The standardDeviation to set.
* @return This builder for chaining.
*/
public Builder setStandardDeviation(double value) {
standardDeviation_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* The standard deviation of the series.
*
*
* double standard_deviation = 2;
*
* @return This builder for chaining.
*/
public Builder clearStandardDeviation() {
bitField0_ = (bitField0_ & ~0x00000002);
standardDeviation_ = 0D;
onChanged();
return this;
}
private com.google.protobuf.Internal.DoubleList quantiles_ = emptyDoubleList();
private void ensureQuantilesIsMutable() {
if (!((bitField0_ & 0x00000004) != 0)) {
quantiles_ = mutableCopy(quantiles_);
bitField0_ |= 0x00000004;
}
}
/**
*
*
*
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @return A list containing the quantiles.
*/
public java.util.List
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @return The count of quantiles.
*/
public int getQuantilesCount() {
return quantiles_.size();
}
/**
*
*
*
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @param index The index of the element to return.
* @return The quantiles at the given index.
*/
public double getQuantiles(int index) {
return quantiles_.getDouble(index);
}
/**
*
*
*
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @param index The index to set the value at.
* @param value The quantiles to set.
* @return This builder for chaining.
*/
public Builder setQuantiles(int index, double value) {
ensureQuantilesIsMutable();
quantiles_.setDouble(index, value);
onChanged();
return this;
}
/**
*
*
*
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @param value The quantiles to add.
* @return This builder for chaining.
*/
public Builder addQuantiles(double value) {
ensureQuantilesIsMutable();
quantiles_.addDouble(value);
onChanged();
return this;
}
/**
*
*
*
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @param values The quantiles to add.
* @return This builder for chaining.
*/
public Builder addAllQuantiles(java.lang.Iterable values) {
ensureQuantilesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, quantiles_);
onChanged();
return this;
}
/**
*
*
*
* Ordered from 0 to k k-quantile values of the data series of n values.
* The value at index i is, approximately, the i*n/k-th smallest value in the
* series; for i = 0 and i = k these are, respectively, the min and max
* values.
*
*
* repeated double quantiles = 3;
*
* @return This builder for chaining.
*/
public Builder clearQuantiles() {
quantiles_ = emptyDoubleList();
bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
return this;
}
private java.util.List
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public java.util.List
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public int getHistogramBucketsCount() {
if (histogramBucketsBuilder_ == null) {
return histogramBuckets_.size();
} else {
return histogramBucketsBuilder_.getCount();
}
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(
int index) {
if (histogramBucketsBuilder_ == null) {
return histogramBuckets_.get(index);
} else {
return histogramBucketsBuilder_.getMessage(index);
}
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder setHistogramBuckets(
int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
if (histogramBucketsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureHistogramBucketsIsMutable();
histogramBuckets_.set(index, value);
onChanged();
} else {
histogramBucketsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder setHistogramBuckets(
int index,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
if (histogramBucketsBuilder_ == null) {
ensureHistogramBucketsIsMutable();
histogramBuckets_.set(index, builderForValue.build());
onChanged();
} else {
histogramBucketsBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder addHistogramBuckets(
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
if (histogramBucketsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureHistogramBucketsIsMutable();
histogramBuckets_.add(value);
onChanged();
} else {
histogramBucketsBuilder_.addMessage(value);
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder addHistogramBuckets(
int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
if (histogramBucketsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureHistogramBucketsIsMutable();
histogramBuckets_.add(index, value);
onChanged();
} else {
histogramBucketsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder addHistogramBuckets(
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
if (histogramBucketsBuilder_ == null) {
ensureHistogramBucketsIsMutable();
histogramBuckets_.add(builderForValue.build());
onChanged();
} else {
histogramBucketsBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder addHistogramBuckets(
int index,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
if (histogramBucketsBuilder_ == null) {
ensureHistogramBucketsIsMutable();
histogramBuckets_.add(index, builderForValue.build());
onChanged();
} else {
histogramBucketsBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder addAllHistogramBuckets(
java.lang.Iterable
values) {
if (histogramBucketsBuilder_ == null) {
ensureHistogramBucketsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, histogramBuckets_);
onChanged();
} else {
histogramBucketsBuilder_.addAllMessages(values);
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder clearHistogramBuckets() {
if (histogramBucketsBuilder_ == null) {
histogramBuckets_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
} else {
histogramBucketsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public Builder removeHistogramBuckets(int index) {
if (histogramBucketsBuilder_ == null) {
ensureHistogramBucketsIsMutable();
histogramBuckets_.remove(index);
onChanged();
} else {
histogramBucketsBuilder_.remove(index);
}
return this;
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
getHistogramBucketsBuilder(int index) {
return getHistogramBucketsFieldBuilder().getBuilder(index);
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
getHistogramBucketsOrBuilder(int index) {
if (histogramBucketsBuilder_ == null) {
return histogramBuckets_.get(index);
} else {
return histogramBucketsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public java.util.List<
? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
getHistogramBucketsOrBuilderList() {
if (histogramBucketsBuilder_ != null) {
return histogramBucketsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(histogramBuckets_);
}
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
addHistogramBucketsBuilder() {
return getHistogramBucketsFieldBuilder()
.addBuilder(
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance());
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
addHistogramBucketsBuilder(int index) {
return getHistogramBucketsFieldBuilder()
.addBuilder(
index,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance());
}
/**
*
*
*
* Histogram buckets of the data series. Sorted by the min value of the
* bucket, ascendingly, and the number of the buckets is dynamically
* generated. The buckets are non-overlapping and completely cover whole
* FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
* the last one being `"Infinity"`.
*
*
*
* repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
*
*/
public java.util.List