com.google.cloud.automl.v1beta1.Float64Stats Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of proto-google-cloud-automl-v1beta1 Show documentation
Show all versions of proto-google-cloud-automl-v1beta1 Show documentation
PROTO library for proto-google-cloud-automl-v1beta1
/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/data_stats.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
/**
*
*
*
* 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();
}
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();
}
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
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder {
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);
}
// Construct using com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
min_ = 0D;
max_ = 0D;
count_ = 0L;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.DataStatsOuterClass
.internal_static_google_cloud_automl_v1beta1_Float64Stats_HistogramBucket_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket build() {
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket buildPartial() {
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result =
new com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket(this);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartial0(
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.min_ = min_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.max_ = max_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.count_ = count_;
}
}
@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 com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) {
return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket other) {
if (other
== com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance())
return this;
if (other.getMin() != 0D) {
setMin(other.getMin());
}
if (other.getMax() != 0D) {
setMax(other.getMax());
}
if (other.getCount() != 0L) {
setCount(other.getCount());
}
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 9:
{
min_ = input.readDouble();
bitField0_ |= 0x00000001;
break;
} // case 9
case 17:
{
max_ = input.readDouble();
bitField0_ |= 0x00000002;
break;
} // case 17
case 24:
{
count_ = input.readInt64();
bitField0_ |= 0x00000004;
break;
} // case 24
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 double min_;
/**
*
*
*
* 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 PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public HistogramBucket 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 com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int MEAN_FIELD_NUMBER = 1;
private double mean_ = 0D;
/**
*
*
*
* 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_ = emptyDoubleList();
/**
*
*
*
* 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 getQuantilesList() {
return 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 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
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 java.util.List
getHistogramBucketsList() {
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 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
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats)
com.google.cloud.automl.v1beta1.Float64StatsOrBuilder {
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);
}
// Construct using com.google.cloud.automl.v1beta1.Float64Stats.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
mean_ = 0D;
standardDeviation_ = 0D;
quantiles_ = emptyDoubleList();
if (histogramBucketsBuilder_ == null) {
histogramBuckets_ = java.util.Collections.emptyList();
} else {
histogramBuckets_ = null;
histogramBucketsBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000008);
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1beta1.DataStatsOuterClass
.internal_static_google_cloud_automl_v1beta1_Float64Stats_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() {
return com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats build() {
com.google.cloud.automl.v1beta1.Float64Stats result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1beta1.Float64Stats buildPartial() {
com.google.cloud.automl.v1beta1.Float64Stats result =
new com.google.cloud.automl.v1beta1.Float64Stats(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartialRepeatedFields(com.google.cloud.automl.v1beta1.Float64Stats result) {
if (histogramBucketsBuilder_ == null) {
if (((bitField0_ & 0x00000008) != 0)) {
histogramBuckets_ = java.util.Collections.unmodifiableList(histogramBuckets_);
bitField0_ = (bitField0_ & ~0x00000008);
}
result.histogramBuckets_ = histogramBuckets_;
} else {
result.histogramBuckets_ = histogramBucketsBuilder_.build();
}
}
private void buildPartial0(com.google.cloud.automl.v1beta1.Float64Stats result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.mean_ = mean_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.standardDeviation_ = standardDeviation_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
quantiles_.makeImmutable();
result.quantiles_ = quantiles_;
}
}
@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 com.google.cloud.automl.v1beta1.Float64Stats) {
return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats other) {
if (other == com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance()) return this;
if (other.getMean() != 0D) {
setMean(other.getMean());
}
if (other.getStandardDeviation() != 0D) {
setStandardDeviation(other.getStandardDeviation());
}
if (!other.quantiles_.isEmpty()) {
if (quantiles_.isEmpty()) {
quantiles_ = other.quantiles_;
quantiles_.makeImmutable();
bitField0_ |= 0x00000004;
} else {
ensureQuantilesIsMutable();
quantiles_.addAll(other.quantiles_);
}
onChanged();
}
if (histogramBucketsBuilder_ == null) {
if (!other.histogramBuckets_.isEmpty()) {
if (histogramBuckets_.isEmpty()) {
histogramBuckets_ = other.histogramBuckets_;
bitField0_ = (bitField0_ & ~0x00000008);
} else {
ensureHistogramBucketsIsMutable();
histogramBuckets_.addAll(other.histogramBuckets_);
}
onChanged();
}
} else {
if (!other.histogramBuckets_.isEmpty()) {
if (histogramBucketsBuilder_.isEmpty()) {
histogramBucketsBuilder_.dispose();
histogramBucketsBuilder_ = null;
histogramBuckets_ = other.histogramBuckets_;
bitField0_ = (bitField0_ & ~0x00000008);
histogramBucketsBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getHistogramBucketsFieldBuilder()
: null;
} else {
histogramBucketsBuilder_.addAllMessages(other.histogramBuckets_);
}
}
}
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 9:
{
mean_ = input.readDouble();
bitField0_ |= 0x00000001;
break;
} // case 9
case 17:
{
standardDeviation_ = input.readDouble();
bitField0_ |= 0x00000002;
break;
} // case 17
case 25:
{
double v = input.readDouble();
ensureQuantilesIsMutable();
quantiles_.addDouble(v);
break;
} // case 25
case 26:
{
int length = input.readRawVarint32();
int limit = input.pushLimit(length);
int alloc = length > 4096 ? 4096 : length;
ensureQuantilesIsMutable(alloc / 8);
while (input.getBytesUntilLimit() > 0) {
quantiles_.addDouble(input.readDouble());
}
input.popLimit(limit);
break;
} // case 26
case 34:
{
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket m =
input.readMessage(
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.parser(),
extensionRegistry);
if (histogramBucketsBuilder_ == null) {
ensureHistogramBucketsIsMutable();
histogramBuckets_.add(m);
} else {
histogramBucketsBuilder_.addMessage(m);
}
break;
} // case 34
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 double mean_;
/**
*
*
*
* 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 (!quantiles_.isModifiable()) {
quantiles_ = makeMutableCopy(quantiles_);
}
bitField0_ |= 0x00000004;
}
private void ensureQuantilesIsMutable(int capacity) {
if (!quantiles_.isModifiable()) {
quantiles_ = makeMutableCopy(quantiles_, capacity);
}
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 getQuantilesList() {
quantiles_.makeImmutable();
return 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 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);
bitField0_ |= 0x00000004;
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);
bitField0_ |= 0x00000004;
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_);
bitField0_ |= 0x00000004;
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
histogramBuckets_ = java.util.Collections.emptyList();
private void ensureHistogramBucketsIsMutable() {
if (!((bitField0_ & 0x00000008) != 0)) {
histogramBuckets_ =
new java.util.ArrayList(
histogramBuckets_);
bitField0_ |= 0x00000008;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
histogramBucketsBuilder_;
/**
*
*
*
* 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
getHistogramBucketsList() {
if (histogramBucketsBuilder_ == null) {
return java.util.Collections.unmodifiableList(histogramBuckets_);
} else {
return histogramBucketsBuilder_.getMessageList();
}
}
/**
*
*
*
* 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
getHistogramBucketsBuilderList() {
return getHistogramBucketsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
getHistogramBucketsFieldBuilder() {
if (histogramBucketsBuilder_ == null) {
histogramBucketsBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>(
histogramBuckets_,
((bitField0_ & 0x00000008) != 0),
getParentForChildren(),
isClean());
histogramBuckets_ = null;
}
return histogramBucketsBuilder_;
}
@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)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats)
private static final com.google.cloud.automl.v1beta1.Float64Stats DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats();
}
public static com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public Float64Stats 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 com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}