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/*
* 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/api/distribution.proto
// Protobuf Java Version: 3.25.3
package com.google.api;
/**
*
*
*
* `Distribution` contains summary statistics for a population of values. It
* optionally contains a histogram representing the distribution of those values
* across a set of buckets.
*
* The summary statistics are the count, mean, sum of the squared deviation from
* the mean, the minimum, and the maximum of the set of population of values.
* The histogram is based on a sequence of buckets and gives a count of values
* that fall into each bucket. The boundaries of the buckets are given either
* explicitly or by formulas for buckets of fixed or exponentially increasing
* widths.
*
* Although it is not forbidden, it is generally a bad idea to include
* non-finite values (infinities or NaNs) in the population of values, as this
* will render the `mean` and `sum_of_squared_deviation` fields meaningless.
*
*
* Protobuf type {@code google.api.Distribution}
*/
public final class Distribution extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.api.Distribution)
DistributionOrBuilder {
private static final long serialVersionUID = 0L;
// Use Distribution.newBuilder() to construct.
private Distribution(com.google.protobuf.GeneratedMessageV3.Builder builder) {
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exemplars_ = java.util.Collections.emptyList();
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public interface RangeOrBuilder
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// @@protoc_insertion_point(interface_extends:google.api.Distribution.Range)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* The minimum of the population values.
*
*
* double min = 1;
*
* @return The min.
*/
double getMin();
/**
*
*
*
* The maximum of the population values.
*
*
* double max = 2;
*
* @return The max.
*/
double getMax();
}
/**
*
*
*
* The range of the population values.
*
*
* Protobuf type {@code google.api.Distribution.Range}
*/
public static final class Range extends com.google.protobuf.GeneratedMessageV3
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// @@protoc_insertion_point(message_implements:google.api.Distribution.Range)
RangeOrBuilder {
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*
*
*
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*
*
* double min = 1;
*
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public static final int MAX_FIELD_NUMBER = 2;
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/**
*
*
*
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*
*
* double max = 2;
*
* @return The max.
*/
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/**
*
*
*
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*
*
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*/
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com.google.api.Distribution.RangeOrBuilder {
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*
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*
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*
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public interface BucketOptionsOrBuilder
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// @@protoc_insertion_point(interface_extends:google.api.Distribution.BucketOptions)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* The linear bucket.
*
*
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*
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*/
boolean hasLinearBuckets();
/**
*
*
*
* `BucketOptions` describes the bucket boundaries used to create a histogram
* for the distribution. The buckets can be in a linear sequence, an
* exponential sequence, or each bucket can be specified explicitly.
* `BucketOptions` does not include the number of values in each bucket.
*
* A bucket has an inclusive lower bound and exclusive upper bound for the
* values that are counted for that bucket. The upper bound of a bucket must
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*
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BucketOptionsOrBuilder {
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/**
*
*
*
* Specifies a set of buckets with arbitrary widths.
*
* There are `size(bounds) + 1` (= N) buckets. Bucket `i` has the following
* boundaries:
*
* Upper bound (0 <= i < N-1): bounds[i]
* Lower bound (1 <= i < N); bounds[i - 1]
*
* The `bounds` field must contain at least one element. If `bounds` has
* only one element, then there are no finite buckets, and that single
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*
*
* Protobuf type {@code google.api.Distribution.BucketOptions.Explicit}
*/
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// @@protoc_insertion_point(builder_scope:google.api.Distribution.BucketOptions.Explicit)
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// @@protoc_insertion_point(class_scope:google.api.Distribution.BucketOptions.Explicit)
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private java.lang.Object options_;
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LINEAR_BUCKETS(1),
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EXPLICIT_BUCKETS(3),
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*
*
*
* The linear bucket.
*
*
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*
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*/
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/**
*
*
*
*
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*/
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/**
*
*
*
* `BucketOptions` describes the bucket boundaries used to create a histogram
* for the distribution. The buckets can be in a linear sequence, an
* exponential sequence, or each bucket can be specified explicitly.
* `BucketOptions` does not include the number of values in each bucket.
*
* A bucket has an inclusive lower bound and exclusive upper bound for the
* values that are counted for that bucket. The upper bound of a bucket must
* be strictly greater than the lower bound. The sequence of N buckets for a
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* finite buckets (number 1 through N - 2) and an overflow bucket (number N -
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* upper bound of the overflow bucket is +infinity. The finite buckets are
* so-called because both bounds are finite.
*
*
* Protobuf type {@code google.api.Distribution.BucketOptions}
*/
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com.google.api.Distribution.BucketOptionsOrBuilder {
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*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
* Contextual information about the example value. Examples are:
*
* Trace: type.googleapis.com/google.monitoring.v3.SpanContext
*
* Literal string: type.googleapis.com/google.protobuf.StringValue
*
* Labels dropped during aggregation:
* type.googleapis.com/google.monitoring.v3.DroppedLabels
*
* There may be only a single attachment of any given message type in a
* single exemplar, and this is enforced by the system.
*
*
* repeated .google.protobuf.Any attachments = 3;
*/
public java.util.List getAttachmentsBuilderList() {
return getAttachmentsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.protobuf.Any,
com.google.protobuf.Any.Builder,
com.google.protobuf.AnyOrBuilder>
getAttachmentsFieldBuilder() {
if (attachmentsBuilder_ == null) {
attachmentsBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.protobuf.Any,
com.google.protobuf.Any.Builder,
com.google.protobuf.AnyOrBuilder>(
attachments_,
((bitField0_ & 0x00000004) != 0),
getParentForChildren(),
isClean());
attachments_ = null;
}
return attachmentsBuilder_;
}
@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.api.Distribution.Exemplar)
}
// @@protoc_insertion_point(class_scope:google.api.Distribution.Exemplar)
private static final com.google.api.Distribution.Exemplar DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.api.Distribution.Exemplar();
}
public static com.google.api.Distribution.Exemplar getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public Exemplar 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()
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} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
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}
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.api.Distribution.Exemplar getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
private int bitField0_;
public static final int COUNT_FIELD_NUMBER = 1;
private long count_ = 0L;
/**
*
*
*
* The number of values in the population. Must be non-negative. This value
* must equal the sum of the values in `bucket_counts` if a histogram is
* provided.
*
*
* int64 count = 1;
*
* @return The count.
*/
@java.lang.Override
public long getCount() {
return count_;
}
public static final int MEAN_FIELD_NUMBER = 2;
private double mean_ = 0D;
/**
*
*
*
* The arithmetic mean of the values in the population. If `count` is zero
* then this field must be zero.
*
*
* double mean = 2;
*
* @return The mean.
*/
@java.lang.Override
public double getMean() {
return mean_;
}
public static final int SUM_OF_SQUARED_DEVIATION_FIELD_NUMBER = 3;
private double sumOfSquaredDeviation_ = 0D;
/**
*
*
*
* The sum of squared deviations from the mean of the values in the
* population. For values x_i this is:
*
* Sum[i=1..n]((x_i - mean)^2)
*
* Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition
* describes Welford's method for accumulating this sum in one pass.
*
* If `count` is zero then this field must be zero.
*
*
* double sum_of_squared_deviation = 3;
*
* @return The sumOfSquaredDeviation.
*/
@java.lang.Override
public double getSumOfSquaredDeviation() {
return sumOfSquaredDeviation_;
}
public static final int RANGE_FIELD_NUMBER = 4;
private com.google.api.Distribution.Range range_;
/**
*
*
*
* If specified, contains the range of the population values. The field
* must not be present if the `count` is zero.
*
*
* .google.api.Distribution.Range range = 4;
*
* @return Whether the range field is set.
*/
@java.lang.Override
public boolean hasRange() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* If specified, contains the range of the population values. The field
* must not be present if the `count` is zero.
*
*
* .google.api.Distribution.Range range = 4;
*
* @return The range.
*/
@java.lang.Override
public com.google.api.Distribution.Range getRange() {
return range_ == null ? com.google.api.Distribution.Range.getDefaultInstance() : range_;
}
/**
*
*
*
* If specified, contains the range of the population values. The field
* must not be present if the `count` is zero.
*
*
* .google.api.Distribution.Range range = 4;
*/
@java.lang.Override
public com.google.api.Distribution.RangeOrBuilder getRangeOrBuilder() {
return range_ == null ? com.google.api.Distribution.Range.getDefaultInstance() : range_;
}
public static final int BUCKET_OPTIONS_FIELD_NUMBER = 6;
private com.google.api.Distribution.BucketOptions bucketOptions_;
/**
*
*
*
* Defines the histogram bucket boundaries. If the distribution does not
* contain a histogram, then omit this field.
*
*
* .google.api.Distribution.BucketOptions bucket_options = 6;
*
* @return Whether the bucketOptions field is set.
*/
@java.lang.Override
public boolean hasBucketOptions() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
*
*
* Defines the histogram bucket boundaries. If the distribution does not
* contain a histogram, then omit this field.
*
* Defines the histogram bucket boundaries. If the distribution does not
* contain a histogram, then omit this field.
*
*
* .google.api.Distribution.BucketOptions bucket_options = 6;
*/
@java.lang.Override
public com.google.api.Distribution.BucketOptionsOrBuilder getBucketOptionsOrBuilder() {
return bucketOptions_ == null
? com.google.api.Distribution.BucketOptions.getDefaultInstance()
: bucketOptions_;
}
public static final int BUCKET_COUNTS_FIELD_NUMBER = 7;
@SuppressWarnings("serial")
private com.google.protobuf.Internal.LongList bucketCounts_ = emptyLongList();
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @return A list containing the bucketCounts.
*/
@java.lang.Override
public java.util.List getBucketCountsList() {
return bucketCounts_;
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @return The count of bucketCounts.
*/
public int getBucketCountsCount() {
return bucketCounts_.size();
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @param index The index of the element to return.
* @return The bucketCounts at the given index.
*/
public long getBucketCounts(int index) {
return bucketCounts_.getLong(index);
}
private int bucketCountsMemoizedSerializedSize = -1;
public static final int EXEMPLARS_FIELD_NUMBER = 10;
@SuppressWarnings("serial")
private java.util.List exemplars_;
/**
*
*
*
*
* repeated .google.api.Distribution.Exemplar exemplars = 10;
*/
@java.lang.Override
public com.google.api.Distribution.ExemplarOrBuilder getExemplarsOrBuilder(int index) {
return exemplars_.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 (count_ != 0L) {
output.writeInt64(1, count_);
}
if (java.lang.Double.doubleToRawLongBits(mean_) != 0) {
output.writeDouble(2, mean_);
}
if (java.lang.Double.doubleToRawLongBits(sumOfSquaredDeviation_) != 0) {
output.writeDouble(3, sumOfSquaredDeviation_);
}
if (((bitField0_ & 0x00000001) != 0)) {
output.writeMessage(4, getRange());
}
if (((bitField0_ & 0x00000002) != 0)) {
output.writeMessage(6, getBucketOptions());
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if (getBucketCountsList().size() > 0) {
output.writeUInt32NoTag(58);
output.writeUInt32NoTag(bucketCountsMemoizedSerializedSize);
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for (int i = 0; i < bucketCounts_.size(); i++) {
output.writeInt64NoTag(bucketCounts_.getLong(i));
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for (int i = 0; i < exemplars_.size(); i++) {
output.writeMessage(10, exemplars_.get(i));
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getUnknownFields().writeTo(output);
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@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (count_ != 0L) {
size += com.google.protobuf.CodedOutputStream.computeInt64Size(1, count_);
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if (java.lang.Double.doubleToRawLongBits(mean_) != 0) {
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if (java.lang.Double.doubleToRawLongBits(sumOfSquaredDeviation_) != 0) {
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if (((bitField0_ & 0x00000001) != 0)) {
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if (((bitField0_ & 0x00000002) != 0)) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(6, getBucketOptions());
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{
int dataSize = 0;
for (int i = 0; i < bucketCounts_.size(); i++) {
dataSize +=
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size += dataSize;
if (!getBucketCountsList().isEmpty()) {
size += 1;
size += com.google.protobuf.CodedOutputStream.computeInt32SizeNoTag(dataSize);
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bucketCountsMemoizedSerializedSize = dataSize;
}
for (int i = 0; i < exemplars_.size(); i++) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(10, exemplars_.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.api.Distribution)) {
return super.equals(obj);
}
com.google.api.Distribution other = (com.google.api.Distribution) obj;
if (getCount() != other.getCount()) return false;
if (java.lang.Double.doubleToLongBits(getMean())
!= java.lang.Double.doubleToLongBits(other.getMean())) return false;
if (java.lang.Double.doubleToLongBits(getSumOfSquaredDeviation())
!= java.lang.Double.doubleToLongBits(other.getSumOfSquaredDeviation())) return false;
if (hasRange() != other.hasRange()) return false;
if (hasRange()) {
if (!getRange().equals(other.getRange())) return false;
}
if (hasBucketOptions() != other.hasBucketOptions()) return false;
if (hasBucketOptions()) {
if (!getBucketOptions().equals(other.getBucketOptions())) return false;
}
if (!getBucketCountsList().equals(other.getBucketCountsList())) return false;
if (!getExemplarsList().equals(other.getExemplarsList())) 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) + COUNT_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getCount());
hash = (37 * hash) + MEAN_FIELD_NUMBER;
hash =
(53 * hash)
+ com.google.protobuf.Internal.hashLong(java.lang.Double.doubleToLongBits(getMean()));
hash = (37 * hash) + SUM_OF_SQUARED_DEVIATION_FIELD_NUMBER;
hash =
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if (hasRange()) {
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hash = (53 * hash) + getRange().hashCode();
}
if (hasBucketOptions()) {
hash = (37 * hash) + BUCKET_OPTIONS_FIELD_NUMBER;
hash = (53 * hash) + getBucketOptions().hashCode();
}
if (getBucketCountsCount() > 0) {
hash = (37 * hash) + BUCKET_COUNTS_FIELD_NUMBER;
hash = (53 * hash) + getBucketCountsList().hashCode();
}
if (getExemplarsCount() > 0) {
hash = (37 * hash) + EXEMPLARS_FIELD_NUMBER;
hash = (53 * hash) + getExemplarsList().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.api.Distribution parseFrom(java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.api.Distribution parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.api.Distribution parseFrom(com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.api.Distribution 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.api.Distribution parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.api.Distribution parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.api.Distribution parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.api.Distribution 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.api.Distribution parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.api.Distribution 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.api.Distribution parseFrom(com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.api.Distribution 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.api.Distribution 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;
}
/**
*
*
*
* `Distribution` contains summary statistics for a population of values. It
* optionally contains a histogram representing the distribution of those values
* across a set of buckets.
*
* The summary statistics are the count, mean, sum of the squared deviation from
* the mean, the minimum, and the maximum of the set of population of values.
* The histogram is based on a sequence of buckets and gives a count of values
* that fall into each bucket. The boundaries of the buckets are given either
* explicitly or by formulas for buckets of fixed or exponentially increasing
* widths.
*
* Although it is not forbidden, it is generally a bad idea to include
* non-finite values (infinities or NaNs) in the population of values, as this
* will render the `mean` and `sum_of_squared_deviation` fields meaningless.
*
*
* Protobuf type {@code google.api.Distribution}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.api.Distribution)
com.google.api.DistributionOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.api.DistributionProto.internal_static_google_api_Distribution_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.api.DistributionProto
.internal_static_google_api_Distribution_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.api.Distribution.class, com.google.api.Distribution.Builder.class);
}
// Construct using com.google.api.Distribution.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
}
private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
getRangeFieldBuilder();
getBucketOptionsFieldBuilder();
getExemplarsFieldBuilder();
}
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
count_ = 0L;
mean_ = 0D;
sumOfSquaredDeviation_ = 0D;
range_ = null;
if (rangeBuilder_ != null) {
rangeBuilder_.dispose();
rangeBuilder_ = null;
}
bucketOptions_ = null;
if (bucketOptionsBuilder_ != null) {
bucketOptionsBuilder_.dispose();
bucketOptionsBuilder_ = null;
}
bucketCounts_ = emptyLongList();
if (exemplarsBuilder_ == null) {
exemplars_ = java.util.Collections.emptyList();
} else {
exemplars_ = null;
exemplarsBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000040);
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.api.DistributionProto.internal_static_google_api_Distribution_descriptor;
}
@java.lang.Override
public com.google.api.Distribution getDefaultInstanceForType() {
return com.google.api.Distribution.getDefaultInstance();
}
@java.lang.Override
public com.google.api.Distribution build() {
com.google.api.Distribution result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.api.Distribution buildPartial() {
com.google.api.Distribution result = new com.google.api.Distribution(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartialRepeatedFields(com.google.api.Distribution result) {
if (exemplarsBuilder_ == null) {
if (((bitField0_ & 0x00000040) != 0)) {
exemplars_ = java.util.Collections.unmodifiableList(exemplars_);
bitField0_ = (bitField0_ & ~0x00000040);
}
result.exemplars_ = exemplars_;
} else {
result.exemplars_ = exemplarsBuilder_.build();
}
}
private void buildPartial0(com.google.api.Distribution result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.count_ = count_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.mean_ = mean_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.sumOfSquaredDeviation_ = sumOfSquaredDeviation_;
}
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000008) != 0)) {
result.range_ = rangeBuilder_ == null ? range_ : rangeBuilder_.build();
to_bitField0_ |= 0x00000001;
}
if (((from_bitField0_ & 0x00000010) != 0)) {
result.bucketOptions_ =
bucketOptionsBuilder_ == null ? bucketOptions_ : bucketOptionsBuilder_.build();
to_bitField0_ |= 0x00000002;
}
if (((from_bitField0_ & 0x00000020) != 0)) {
bucketCounts_.makeImmutable();
result.bucketCounts_ = bucketCounts_;
}
result.bitField0_ |= to_bitField0_;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.api.Distribution) {
return mergeFrom((com.google.api.Distribution) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.api.Distribution other) {
if (other == com.google.api.Distribution.getDefaultInstance()) return this;
if (other.getCount() != 0L) {
setCount(other.getCount());
}
if (other.getMean() != 0D) {
setMean(other.getMean());
}
if (other.getSumOfSquaredDeviation() != 0D) {
setSumOfSquaredDeviation(other.getSumOfSquaredDeviation());
}
if (other.hasRange()) {
mergeRange(other.getRange());
}
if (other.hasBucketOptions()) {
mergeBucketOptions(other.getBucketOptions());
}
if (!other.bucketCounts_.isEmpty()) {
if (bucketCounts_.isEmpty()) {
bucketCounts_ = other.bucketCounts_;
bucketCounts_.makeImmutable();
bitField0_ |= 0x00000020;
} else {
ensureBucketCountsIsMutable();
bucketCounts_.addAll(other.bucketCounts_);
}
onChanged();
}
if (exemplarsBuilder_ == null) {
if (!other.exemplars_.isEmpty()) {
if (exemplars_.isEmpty()) {
exemplars_ = other.exemplars_;
bitField0_ = (bitField0_ & ~0x00000040);
} else {
ensureExemplarsIsMutable();
exemplars_.addAll(other.exemplars_);
}
onChanged();
}
} else {
if (!other.exemplars_.isEmpty()) {
if (exemplarsBuilder_.isEmpty()) {
exemplarsBuilder_.dispose();
exemplarsBuilder_ = null;
exemplars_ = other.exemplars_;
bitField0_ = (bitField0_ & ~0x00000040);
exemplarsBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getExemplarsFieldBuilder()
: null;
} else {
exemplarsBuilder_.addAllMessages(other.exemplars_);
}
}
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8:
{
count_ = input.readInt64();
bitField0_ |= 0x00000001;
break;
} // case 8
case 17:
{
mean_ = input.readDouble();
bitField0_ |= 0x00000002;
break;
} // case 17
case 25:
{
sumOfSquaredDeviation_ = input.readDouble();
bitField0_ |= 0x00000004;
break;
} // case 25
case 34:
{
input.readMessage(getRangeFieldBuilder().getBuilder(), extensionRegistry);
bitField0_ |= 0x00000008;
break;
} // case 34
case 50:
{
input.readMessage(getBucketOptionsFieldBuilder().getBuilder(), extensionRegistry);
bitField0_ |= 0x00000010;
break;
} // case 50
case 56:
{
long v = input.readInt64();
ensureBucketCountsIsMutable();
bucketCounts_.addLong(v);
break;
} // case 56
case 58:
{
int length = input.readRawVarint32();
int limit = input.pushLimit(length);
ensureBucketCountsIsMutable();
while (input.getBytesUntilLimit() > 0) {
bucketCounts_.addLong(input.readInt64());
}
input.popLimit(limit);
break;
} // case 58
case 82:
{
com.google.api.Distribution.Exemplar m =
input.readMessage(
com.google.api.Distribution.Exemplar.parser(), extensionRegistry);
if (exemplarsBuilder_ == null) {
ensureExemplarsIsMutable();
exemplars_.add(m);
} else {
exemplarsBuilder_.addMessage(m);
}
break;
} // case 82
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private long count_;
/**
*
*
*
* The number of values in the population. Must be non-negative. This value
* must equal the sum of the values in `bucket_counts` if a histogram is
* provided.
*
*
* int64 count = 1;
*
* @return The count.
*/
@java.lang.Override
public long getCount() {
return count_;
}
/**
*
*
*
* The number of values in the population. Must be non-negative. This value
* must equal the sum of the values in `bucket_counts` if a histogram is
* provided.
*
*
* int64 count = 1;
*
* @param value The count to set.
* @return This builder for chaining.
*/
public Builder setCount(long value) {
count_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* The number of values in the population. Must be non-negative. This value
* must equal the sum of the values in `bucket_counts` if a histogram is
* provided.
*
* The arithmetic mean of the values in the population. If `count` is zero
* then this field must be zero.
*
*
* double mean = 2;
*
* @return The mean.
*/
@java.lang.Override
public double getMean() {
return mean_;
}
/**
*
*
*
* The arithmetic mean of the values in the population. If `count` is zero
* then this field must be zero.
*
*
* double mean = 2;
*
* @param value The mean to set.
* @return This builder for chaining.
*/
public Builder setMean(double value) {
mean_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* The arithmetic mean of the values in the population. If `count` is zero
* then this field must be zero.
*
*
* double mean = 2;
*
* @return This builder for chaining.
*/
public Builder clearMean() {
bitField0_ = (bitField0_ & ~0x00000002);
mean_ = 0D;
onChanged();
return this;
}
private double sumOfSquaredDeviation_;
/**
*
*
*
* The sum of squared deviations from the mean of the values in the
* population. For values x_i this is:
*
* Sum[i=1..n]((x_i - mean)^2)
*
* Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition
* describes Welford's method for accumulating this sum in one pass.
*
* If `count` is zero then this field must be zero.
*
* The sum of squared deviations from the mean of the values in the
* population. For values x_i this is:
*
* Sum[i=1..n]((x_i - mean)^2)
*
* Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition
* describes Welford's method for accumulating this sum in one pass.
*
* If `count` is zero then this field must be zero.
*
*
* double sum_of_squared_deviation = 3;
*
* @param value The sumOfSquaredDeviation to set.
* @return This builder for chaining.
*/
public Builder setSumOfSquaredDeviation(double value) {
sumOfSquaredDeviation_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* The sum of squared deviations from the mean of the values in the
* population. For values x_i this is:
*
* Sum[i=1..n]((x_i - mean)^2)
*
* Knuth, "The Art of Computer Programming", Vol. 2, page 232, 3rd edition
* describes Welford's method for accumulating this sum in one pass.
*
* If `count` is zero then this field must be zero.
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @return A list containing the bucketCounts.
*/
public java.util.List getBucketCountsList() {
bucketCounts_.makeImmutable();
return bucketCounts_;
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @return The count of bucketCounts.
*/
public int getBucketCountsCount() {
return bucketCounts_.size();
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @param index The index of the element to return.
* @return The bucketCounts at the given index.
*/
public long getBucketCounts(int index) {
return bucketCounts_.getLong(index);
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @param index The index to set the value at.
* @param value The bucketCounts to set.
* @return This builder for chaining.
*/
public Builder setBucketCounts(int index, long value) {
ensureBucketCountsIsMutable();
bucketCounts_.setLong(index, value);
bitField0_ |= 0x00000020;
onChanged();
return this;
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @param value The bucketCounts to add.
* @return This builder for chaining.
*/
public Builder addBucketCounts(long value) {
ensureBucketCountsIsMutable();
bucketCounts_.addLong(value);
bitField0_ |= 0x00000020;
onChanged();
return this;
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
*
* repeated int64 bucket_counts = 7;
*
* @param values The bucketCounts to add.
* @return This builder for chaining.
*/
public Builder addAllBucketCounts(java.lang.Iterable values) {
ensureBucketCountsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, bucketCounts_);
bitField0_ |= 0x00000020;
onChanged();
return this;
}
/**
*
*
*
* The number of values in each bucket of the histogram, as described in
* `bucket_options`. If the distribution does not have a histogram, then omit
* this field. If there is a histogram, then the sum of the values in
* `bucket_counts` must equal the value in the `count` field of the
* distribution.
*
* If present, `bucket_counts` should contain N values, where N is the number
* of buckets specified in `bucket_options`. If you supply fewer than N
* values, the remaining values are assumed to be 0.
*
* The order of the values in `bucket_counts` follows the bucket numbering
* schemes described for the three bucket types. The first value must be the
* count for the underflow bucket (number 0). The next N-2 values are the
* counts for the finite buckets (number 1 through N-2). The N'th value in
* `bucket_counts` is the count for the overflow bucket (number N-1).
*
