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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: opencensus/proto/metrics/v1/metrics.proto
package io.opencensus.proto.metrics.v1;
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static {
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public static io.opencensus.proto.metrics.v1.DistributionValue.Exemplar getDefaultInstance() {
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}
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public Exemplar parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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/**
*
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*
*
* int64 count = 1;
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/**
*
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*
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*/
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*
*
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/**
*
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* TODO(issue #152): consider not required to send bucket options for
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*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
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*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
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/**
*
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*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
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*
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*
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*
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public static Builder newBuilder() {
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public static Builder newBuilder(io.opencensus.proto.metrics.v1.DistributionValue prototype) {
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/**
*
* Distribution contains summary statistics for a population of values. It
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* values across a set of buckets.
*
*
* Protobuf type {@code opencensus.proto.metrics.v1.DistributionValue}
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io.opencensus.proto.metrics.v1.DistributionValueOrBuilder {
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getDescriptor() {
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sum_ = 0D;
sumOfSquaredDeviation_ = 0D;
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} else {
bucketsBuilder_.addAllMessages(other.buckets_);
}
}
}
this.mergeUnknownFields(other.unknownFields);
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 {
io.opencensus.proto.metrics.v1.DistributionValue parsedMessage = null;
try {
parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
parsedMessage = (io.opencensus.proto.metrics.v1.DistributionValue) e.getUnfinishedMessage();
throw e.unwrapIOException();
} finally {
if (parsedMessage != null) {
mergeFrom(parsedMessage);
}
}
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;
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.
*
*
* int64 count = 1;
* @return This builder for chaining.
*/
public Builder clearCount() {
count_ = 0L;
onChanged();
return this;
}
private double sum_ ;
/**
*
* The sum of the values in the population. If count is zero then this field
* must be zero.
*
*
* double sum = 2;
* @return The sum.
*/
@java.lang.Override
public double getSum() {
return sum_;
}
/**
*
* The sum of the values in the population. If count is zero then this field
* must be zero.
*
*
* double sum = 2;
* @param value The sum to set.
* @return This builder for chaining.
*/
public Builder setSum(double value) {
sum_ = value;
onChanged();
return this;
}
/**
*
* The sum of the values in the population. If count is zero then this field
* must be zero.
*
*
* double sum = 2;
* @return This builder for chaining.
*/
public Builder clearSum() {
sum_ = 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 323, 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 323, 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;
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 323, 3rd edition
* describes Welford's method for accumulating this sum in one pass.
* If count is zero then this field must be zero.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
* @return Whether the bucketOptions field is set.
*/
public boolean hasBucketOptions() {
return bucketOptionsBuilder_ != null || bucketOptions_ != null;
}
/**
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
*/
public Builder setBucketOptions(io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions value) {
if (bucketOptionsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
bucketOptions_ = value;
onChanged();
} else {
bucketOptionsBuilder_.setMessage(value);
}
return this;
}
/**
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* Don't change bucket boundaries within a TimeSeries if your backend doesn't
* support this.
* TODO(issue #152): consider not required to send bucket options for
* optimization.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public int getBucketsCount() {
if (bucketsBuilder_ == null) {
return buckets_.size();
} else {
return bucketsBuilder_.getCount();
}
}
/**
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public Builder setBuckets(
int index, io.opencensus.proto.metrics.v1.DistributionValue.Bucket value) {
if (bucketsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureBucketsIsMutable();
buckets_.set(index, value);
onChanged();
} else {
bucketsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public Builder addBuckets(io.opencensus.proto.metrics.v1.DistributionValue.Bucket value) {
if (bucketsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureBucketsIsMutable();
buckets_.add(value);
onChanged();
} else {
bucketsBuilder_.addMessage(value);
}
return this;
}
/**
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public Builder addBuckets(
int index, io.opencensus.proto.metrics.v1.DistributionValue.Bucket value) {
if (bucketsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureBucketsIsMutable();
buckets_.add(index, value);
onChanged();
} else {
bucketsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public io.opencensus.proto.metrics.v1.DistributionValue.Bucket.Builder getBucketsBuilder(
int index) {
return getBucketsFieldBuilder().getBuilder(index);
}
/**
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder getBucketsOrBuilder(
int index) {
if (bucketsBuilder_ == null) {
return buckets_.get(index); } else {
return bucketsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
* If the distribution does not have a histogram, then omit this field.
* If there is a histogram, then the sum of the values in the Bucket counts
* must equal the value in the count field of the distribution.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public java.util.List
getBucketsBuilderList() {
return getBucketsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
io.opencensus.proto.metrics.v1.DistributionValue.Bucket, io.opencensus.proto.metrics.v1.DistributionValue.Bucket.Builder, io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder>
getBucketsFieldBuilder() {
if (bucketsBuilder_ == null) {
bucketsBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
io.opencensus.proto.metrics.v1.DistributionValue.Bucket, io.opencensus.proto.metrics.v1.DistributionValue.Bucket.Builder, io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder>(
buckets_,
((bitField0_ & 0x00000001) != 0),
getParentForChildren(),
isClean());
buckets_ = null;
}
return bucketsBuilder_;
}
@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:opencensus.proto.metrics.v1.DistributionValue)
}
// @@protoc_insertion_point(class_scope:opencensus.proto.metrics.v1.DistributionValue)
private static final io.opencensus.proto.metrics.v1.DistributionValue DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new io.opencensus.proto.metrics.v1.DistributionValue();
}
public static io.opencensus.proto.metrics.v1.DistributionValue getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public DistributionValue parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new DistributionValue(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public io.opencensus.proto.metrics.v1.DistributionValue getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
