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io.opencensus.proto.metrics.v1.DistributionValue Maven / Gradle / Ivy
// 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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*/
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/**
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io.opencensus.proto.metrics.v1.DistributionValue.BucketOptionsOrBuilder {
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// @@protoc_insertion_point(class_scope:opencensus.proto.metrics.v1.DistributionValue.BucketOptions)
private static final io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions DEFAULT_INSTANCE;
static {
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public static io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions getDefaultInstance() {
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}
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new BucketOptions(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
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@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
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public interface BucketOrBuilder extends
// @@protoc_insertion_point(interface_extends:opencensus.proto.metrics.v1.DistributionValue.Bucket)
com.google.protobuf.MessageOrBuilder {
/**
*
* The number of values in each bucket of the histogram, as described in
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*
*
* int64 count = 1;
* @return The count.
*/
long getCount();
/**
*
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*
*
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*/
boolean hasExemplar();
/**
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io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder {
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private long count_ ;
/**
*
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*
*
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/**
*
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*
*
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*
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*
*
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*
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onChanged();
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/**
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onChanged();
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onChanged();
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/**
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com.google.protobuf.MessageOrBuilder {
/**
*
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*
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java.util.Map
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/**
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java.lang.String getAttachmentsOrThrow(
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/**
*
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/**
*
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*/
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/**
*
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*/
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java.util.Map map =
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internalGetMutableAttachments().getMutableMap()
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// @@protoc_insertion_point(builder_scope:opencensus.proto.metrics.v1.DistributionValue.Exemplar)
}
// @@protoc_insertion_point(class_scope:opencensus.proto.metrics.v1.DistributionValue.Exemplar)
private static final io.opencensus.proto.metrics.v1.DistributionValue.Exemplar DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new io.opencensus.proto.metrics.v1.DistributionValue.Exemplar();
}
public static io.opencensus.proto.metrics.v1.DistributionValue.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 {
return new Exemplar(input, extensionRegistry);
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public static com.google.protobuf.Parser parser() {
return PARSER;
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@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
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@java.lang.Override
public io.opencensus.proto.metrics.v1.DistributionValue.Exemplar getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int COUNT_FIELD_NUMBER = 1;
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_;
}
public static final int SUM_FIELD_NUMBER = 2;
private double sum_;
/**
*
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*
* double sum = 2;
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*/
@java.lang.Override
public double getSum() {
return sum_;
}
public static final int SUM_OF_SQUARED_DEVIATION_FIELD_NUMBER = 3;
private double sumOfSquaredDeviation_;
/**
*
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* 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;
* @return The sumOfSquaredDeviation.
*/
@java.lang.Override
public double getSumOfSquaredDeviation() {
return sumOfSquaredDeviation_;
}
public static final int BUCKET_OPTIONS_FIELD_NUMBER = 4;
private io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucketOptions_;
/**
*
* 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.
*/
@java.lang.Override
public boolean hasBucketOptions() {
return 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.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
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*/
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public io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions getBucketOptions() {
return bucketOptions_ == null ? io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.getDefaultInstance() : bucketOptions_;
}
/**
*
* 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;
*/
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public io.opencensus.proto.metrics.v1.DistributionValue.BucketOptionsOrBuilder getBucketOptionsOrBuilder() {
return getBucketOptions();
}
public static final int BUCKETS_FIELD_NUMBER = 5;
private java.util.List buckets_;
/**
*
* 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;
*/
@java.lang.Override
public java.util.List getBucketsList() {
return buckets_;
}
/**
*
* 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;
*/
@java.lang.Override
public java.util.List extends io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder>
getBucketsOrBuilderList() {
return buckets_;
}
/**
*
* 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;
*/
@java.lang.Override
public int getBucketsCount() {
return buckets_.size();
}
/**
*
* 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;
*/
@java.lang.Override
public io.opencensus.proto.metrics.v1.DistributionValue.Bucket getBuckets(int index) {
return buckets_.get(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;
*/
@java.lang.Override
public io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder getBucketsOrBuilder(
int index) {
return buckets_.get(index);
}
private byte memoizedIsInitialized = -1;
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byte isInitialized = memoizedIsInitialized;
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return true;
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output.writeInt64(1, count_);
}
if (java.lang.Double.doubleToRawLongBits(sum_) != 0) {
output.writeDouble(2, sum_);
}
if (java.lang.Double.doubleToRawLongBits(sumOfSquaredDeviation_) != 0) {
output.writeDouble(3, sumOfSquaredDeviation_);
}
if (bucketOptions_ != null) {
output.writeMessage(4, getBucketOptions());
}
for (int i = 0; i < buckets_.size(); i++) {
output.writeMessage(5, buckets_.get(i));
}
unknownFields.writeTo(output);
}
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if (count_ != 0L) {
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size += unknownFields.getSerializedSize();
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@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof io.opencensus.proto.metrics.v1.DistributionValue)) {
return super.equals(obj);
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io.opencensus.proto.metrics.v1.DistributionValue other = (io.opencensus.proto.metrics.v1.DistributionValue) obj;
if (getCount()
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if (java.lang.Double.doubleToLongBits(getSum())
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if (java.lang.Double.doubleToLongBits(getSumOfSquaredDeviation())
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if (hasBucketOptions() != other.hasBucketOptions()) return false;
if (hasBucketOptions()) {
if (!getBucketOptions()
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if (!getBucketsList()
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if (!unknownFields.equals(other.unknownFields)) return false;
return true;
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@java.lang.Override
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if (memoizedHashCode != 0) {
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + COUNT_FIELD_NUMBER;
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hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
com.google.protobuf.ByteString data)
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(byte[] data)
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
byte[] data,
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(java.io.InputStream input)
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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public static io.opencensus.proto.metrics.v1.DistributionValue parseDelimitedFrom(java.io.InputStream input)
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public static io.opencensus.proto.metrics.v1.DistributionValue parseDelimitedFrom(
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return com.google.protobuf.GeneratedMessageV3
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
com.google.protobuf.CodedInputStream input)
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public static io.opencensus.proto.metrics.v1.DistributionValue parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(io.opencensus.proto.metrics.v1.DistributionValue 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.
*
*
* Protobuf type {@code opencensus.proto.metrics.v1.DistributionValue}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:opencensus.proto.metrics.v1.DistributionValue)
io.opencensus.proto.metrics.v1.DistributionValueOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return io.opencensus.proto.metrics.v1.MetricsProto.internal_static_opencensus_proto_metrics_v1_DistributionValue_descriptor;
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private Builder() {
maybeForceBuilderInitialization();
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private Builder(
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super(parent);
maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
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@java.lang.Override
public Builder clear() {
super.clear();
count_ = 0L;
sum_ = 0D;
sumOfSquaredDeviation_ = 0D;
if (bucketOptionsBuilder_ == null) {
bucketOptions_ = null;
} else {
bucketOptions_ = null;
bucketOptionsBuilder_ = null;
}
if (bucketsBuilder_ == null) {
buckets_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
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getDescriptorForType() {
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io.opencensus.proto.metrics.v1.DistributionValue result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
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return result;
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io.opencensus.proto.metrics.v1.DistributionValue result = new io.opencensus.proto.metrics.v1.DistributionValue(this);
int from_bitField0_ = bitField0_;
result.count_ = count_;
result.sum_ = sum_;
result.sumOfSquaredDeviation_ = sumOfSquaredDeviation_;
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result.buckets_ = bucketsBuilder_.build();
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onBuilt();
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com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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public Builder mergeFrom(io.opencensus.proto.metrics.v1.DistributionValue other) {
if (other == io.opencensus.proto.metrics.v1.DistributionValue.getDefaultInstance()) return this;
if (other.getCount() != 0L) {
setCount(other.getCount());
}
if (other.getSum() != 0D) {
setSum(other.getSum());
}
if (other.getSumOfSquaredDeviation() != 0D) {
setSumOfSquaredDeviation(other.getSumOfSquaredDeviation());
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mergeBucketOptions(other.getBucketOptions());
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onChanged();
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this.mergeUnknownFields(other.unknownFields);
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com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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io.opencensus.proto.metrics.v1.DistributionValue parsedMessage = null;
try {
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parsedMessage = (io.opencensus.proto.metrics.v1.DistributionValue) e.getUnfinishedMessage();
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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.
*
*
* double sum_of_squared_deviation = 3;
* @return The sumOfSquaredDeviation.
*/
@java.lang.Override
public double getSumOfSquaredDeviation() {
return 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.
*
*
* 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.
*
*
* double sum_of_squared_deviation = 3;
* @return This builder for chaining.
*/
public Builder clearSumOfSquaredDeviation() {
sumOfSquaredDeviation_ = 0D;
onChanged();
return this;
}
private io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucketOptions_;
private com.google.protobuf.SingleFieldBuilderV3<
io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions, io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.Builder, io.opencensus.proto.metrics.v1.DistributionValue.BucketOptionsOrBuilder> bucketOptionsBuilder_;
/**
*
* 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.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
* @return The bucketOptions.
*/
public io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions getBucketOptions() {
if (bucketOptionsBuilder_ == null) {
return bucketOptions_ == null ? io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.getDefaultInstance() : bucketOptions_;
} else {
return bucketOptionsBuilder_.getMessage();
}
}
/**
*
* 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.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
*/
public Builder setBucketOptions(
io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.Builder builderForValue) {
if (bucketOptionsBuilder_ == null) {
bucketOptions_ = builderForValue.build();
onChanged();
} else {
bucketOptionsBuilder_.setMessage(builderForValue.build());
}
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.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
*/
public Builder mergeBucketOptions(io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions value) {
if (bucketOptionsBuilder_ == null) {
if (bucketOptions_ != null) {
bucketOptions_ =
io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.newBuilder(bucketOptions_).mergeFrom(value).buildPartial();
} else {
bucketOptions_ = value;
}
onChanged();
} else {
bucketOptionsBuilder_.mergeFrom(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.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
*/
public Builder clearBucketOptions() {
if (bucketOptionsBuilder_ == null) {
bucketOptions_ = null;
onChanged();
} else {
bucketOptions_ = null;
bucketOptionsBuilder_ = null;
}
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.
*
*
* .opencensus.proto.metrics.v1.DistributionValue.BucketOptions bucket_options = 4;
*/
public io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.Builder getBucketOptionsBuilder() {
onChanged();
return getBucketOptionsFieldBuilder().getBuilder();
}
/**
*
* 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 io.opencensus.proto.metrics.v1.DistributionValue.BucketOptionsOrBuilder getBucketOptionsOrBuilder() {
if (bucketOptionsBuilder_ != null) {
return bucketOptionsBuilder_.getMessageOrBuilder();
} else {
return bucketOptions_ == null ?
io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.getDefaultInstance() : bucketOptions_;
}
}
/**
*
* 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;
*/
private com.google.protobuf.SingleFieldBuilderV3<
io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions, io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.Builder, io.opencensus.proto.metrics.v1.DistributionValue.BucketOptionsOrBuilder>
getBucketOptionsFieldBuilder() {
if (bucketOptionsBuilder_ == null) {
bucketOptionsBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions, io.opencensus.proto.metrics.v1.DistributionValue.BucketOptions.Builder, io.opencensus.proto.metrics.v1.DistributionValue.BucketOptionsOrBuilder>(
getBucketOptions(),
getParentForChildren(),
isClean());
bucketOptions_ = null;
}
return bucketOptionsBuilder_;
}
private java.util.List buckets_ =
java.util.Collections.emptyList();
private void ensureBucketsIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
buckets_ = new java.util.ArrayList(buckets_);
bitField0_ |= 0x00000001;
}
}
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> bucketsBuilder_;
/**
*
* 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 getBucketsList() {
if (bucketsBuilder_ == null) {
return java.util.Collections.unmodifiableList(buckets_);
} else {
return bucketsBuilder_.getMessageList();
}
}
/**
*
* 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.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public io.opencensus.proto.metrics.v1.DistributionValue.Bucket getBuckets(int index) {
if (bucketsBuilder_ == null) {
return buckets_.get(index);
} else {
return bucketsBuilder_.getMessage(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 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.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public Builder setBuckets(
int index, io.opencensus.proto.metrics.v1.DistributionValue.Bucket.Builder builderForValue) {
if (bucketsBuilder_ == null) {
ensureBucketsIsMutable();
buckets_.set(index, builderForValue.build());
onChanged();
} else {
bucketsBuilder_.setMessage(index, builderForValue.build());
}
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(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.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public Builder addBuckets(
io.opencensus.proto.metrics.v1.DistributionValue.Bucket.Builder builderForValue) {
if (bucketsBuilder_ == null) {
ensureBucketsIsMutable();
buckets_.add(builderForValue.build());
onChanged();
} else {
bucketsBuilder_.addMessage(builderForValue.build());
}
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.Builder builderForValue) {
if (bucketsBuilder_ == null) {
ensureBucketsIsMutable();
buckets_.add(index, builderForValue.build());
onChanged();
} else {
bucketsBuilder_.addMessage(index, builderForValue.build());
}
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 addAllBuckets(
java.lang.Iterable extends io.opencensus.proto.metrics.v1.DistributionValue.Bucket> values) {
if (bucketsBuilder_ == null) {
ensureBucketsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, buckets_);
onChanged();
} else {
bucketsBuilder_.addAllMessages(values);
}
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 clearBuckets() {
if (bucketsBuilder_ == null) {
buckets_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
bucketsBuilder_.clear();
}
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 removeBuckets(int index) {
if (bucketsBuilder_ == null) {
ensureBucketsIsMutable();
buckets_.remove(index);
onChanged();
} else {
bucketsBuilder_.remove(index);
}
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 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.
*
*
* repeated .opencensus.proto.metrics.v1.DistributionValue.Bucket buckets = 5;
*/
public java.util.List extends io.opencensus.proto.metrics.v1.DistributionValue.BucketOrBuilder>
getBucketsOrBuilderList() {
if (bucketsBuilder_ != null) {
return bucketsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(buckets_);
}
}
/**
*
* 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 addBucketsBuilder() {
return getBucketsFieldBuilder().addBuilder(
io.opencensus.proto.metrics.v1.DistributionValue.Bucket.getDefaultInstance());
}
/**
*
* 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 addBucketsBuilder(
int index) {
return getBucketsFieldBuilder().addBuilder(
index, io.opencensus.proto.metrics.v1.DistributionValue.Bucket.getDefaultInstance());
}
/**
*
* 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;
}
}
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