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Scala SDK for Cognite Data Fusion.
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: data_points.proto
package com.cognite.v1.timeseries.proto;
/**
* Protobuf type {@code com.cognite.v1.timeseries.proto.AggregateDatapoint}
*/
public final class AggregateDatapoint extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:com.cognite.v1.timeseries.proto.AggregateDatapoint)
AggregateDatapointOrBuilder {
private static final long serialVersionUID = 0L;
// Use AggregateDatapoint.newBuilder() to construct.
private AggregateDatapoint(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
super(builder);
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private AggregateDatapoint() {
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@java.lang.Override
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protected java.lang.Object newInstance(
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return new AggregateDatapoint();
}
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getUnknownFields() {
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return com.cognite.v1.timeseries.proto.DataPoints.internal_static_com_cognite_v1_timeseries_proto_AggregateDatapoint_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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*/
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*/
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*/
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*/
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public static final int COUNT_FIELD_NUMBER = 5;
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/**
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*/
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public static final int SUM_FIELD_NUMBER = 6;
private double sum_;
/**
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*/
@java.lang.Override
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/**
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/**
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/**
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*/
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public static final int DISCRETEVARIANCE_FIELD_NUMBER = 10;
private double discreteVariance_;
/**
* double discreteVariance = 10;
* @return The discreteVariance.
*/
@java.lang.Override
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public static final int TOTALVARIATION_FIELD_NUMBER = 11;
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/**
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*/
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public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(
java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint 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.cognite.v1.timeseries.proto.AggregateDatapoint parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseDelimitedFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint 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.cognite.v1.timeseries.proto.AggregateDatapoint 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;
}
/**
* Protobuf type {@code com.cognite.v1.timeseries.proto.AggregateDatapoint}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:com.cognite.v1.timeseries.proto.AggregateDatapoint)
com.cognite.v1.timeseries.proto.AggregateDatapointOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return com.cognite.v1.timeseries.proto.DataPoints.internal_static_com_cognite_v1_timeseries_proto_AggregateDatapoint_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.cognite.v1.timeseries.proto.DataPoints.internal_static_com_cognite_v1_timeseries_proto_AggregateDatapoint_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.cognite.v1.timeseries.proto.AggregateDatapoint.class, com.cognite.v1.timeseries.proto.AggregateDatapoint.Builder.class);
}
// Construct using com.cognite.v1.timeseries.proto.AggregateDatapoint.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
timestamp_ = 0L;
average_ = 0D;
max_ = 0D;
min_ = 0D;
count_ = 0D;
sum_ = 0D;
interpolation_ = 0D;
stepInterpolation_ = 0D;
continuousVariance_ = 0D;
discreteVariance_ = 0D;
totalVariation_ = 0D;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return com.cognite.v1.timeseries.proto.DataPoints.internal_static_com_cognite_v1_timeseries_proto_AggregateDatapoint_descriptor;
}
@java.lang.Override
public com.cognite.v1.timeseries.proto.AggregateDatapoint getDefaultInstanceForType() {
return com.cognite.v1.timeseries.proto.AggregateDatapoint.getDefaultInstance();
}
@java.lang.Override
public com.cognite.v1.timeseries.proto.AggregateDatapoint build() {
com.cognite.v1.timeseries.proto.AggregateDatapoint result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.cognite.v1.timeseries.proto.AggregateDatapoint buildPartial() {
com.cognite.v1.timeseries.proto.AggregateDatapoint result = new com.cognite.v1.timeseries.proto.AggregateDatapoint(this);
result.timestamp_ = timestamp_;
result.average_ = average_;
result.max_ = max_;
result.min_ = min_;
result.count_ = count_;
result.sum_ = sum_;
result.interpolation_ = interpolation_;
result.stepInterpolation_ = stepInterpolation_;
result.continuousVariance_ = continuousVariance_;
result.discreteVariance_ = discreteVariance_;
result.totalVariation_ = totalVariation_;
onBuilt();
return result;
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com.google.protobuf.Descriptors.FieldDescriptor field,
java.lang.Object value) {
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com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.cognite.v1.timeseries.proto.AggregateDatapoint) {
return mergeFrom((com.cognite.v1.timeseries.proto.AggregateDatapoint)other);
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super.mergeFrom(other);
return this;
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}
public Builder mergeFrom(com.cognite.v1.timeseries.proto.AggregateDatapoint other) {
if (other == com.cognite.v1.timeseries.proto.AggregateDatapoint.getDefaultInstance()) return this;
if (other.getTimestamp() != 0L) {
setTimestamp(other.getTimestamp());
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if (other.getAverage() != 0D) {
setAverage(other.getAverage());
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if (other.getMax() != 0D) {
setMax(other.getMax());
}
if (other.getMin() != 0D) {
setMin(other.getMin());
}
if (other.getCount() != 0D) {
setCount(other.getCount());
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if (other.getSum() != 0D) {
setSum(other.getSum());
}
if (other.getInterpolation() != 0D) {
setInterpolation(other.getInterpolation());
}
if (other.getStepInterpolation() != 0D) {
setStepInterpolation(other.getStepInterpolation());
}
if (other.getContinuousVariance() != 0D) {
setContinuousVariance(other.getContinuousVariance());
}
if (other.getDiscreteVariance() != 0D) {
setDiscreteVariance(other.getDiscreteVariance());
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if (other.getTotalVariation() != 0D) {
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this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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break;
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case 17: {
average_ = input.readDouble();
break;
} // case 17
case 25: {
max_ = input.readDouble();
break;
} // case 25
case 33: {
min_ = input.readDouble();
break;
} // case 33
case 41: {
count_ = input.readDouble();
break;
} // case 41
case 49: {
sum_ = input.readDouble();
break;
} // case 49
case 57: {
interpolation_ = input.readDouble();
break;
} // case 57
case 65: {
stepInterpolation_ = input.readDouble();
break;
} // case 65
case 73: {
continuousVariance_ = input.readDouble();
break;
} // case 73
case 81: {
discreteVariance_ = input.readDouble();
break;
} // case 81
case 89: {
totalVariation_ = input.readDouble();
break;
} // case 89
default: {
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} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private long timestamp_ ;
/**
* int64 timestamp = 1;
* @return The timestamp.
*/
@java.lang.Override
public long getTimestamp() {
return timestamp_;
}
/**
* int64 timestamp = 1;
* @param value The timestamp to set.
* @return This builder for chaining.
*/
public Builder setTimestamp(long value) {
timestamp_ = value;
onChanged();
return this;
}
/**
* int64 timestamp = 1;
* @return This builder for chaining.
*/
public Builder clearTimestamp() {
timestamp_ = 0L;
onChanged();
return this;
}
private double average_ ;
/**
* double average = 2;
* @return The average.
*/
@java.lang.Override
public double getAverage() {
return average_;
}
/**
* double average = 2;
* @param value The average to set.
* @return This builder for chaining.
*/
public Builder setAverage(double value) {
average_ = value;
onChanged();
return this;
}
/**
* double average = 2;
* @return This builder for chaining.
*/
public Builder clearAverage() {
average_ = 0D;
onChanged();
return this;
}
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/**
* double max = 3;
* @return The max.
*/
@java.lang.Override
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return max_;
}
/**
* double max = 3;
* @param value The max to set.
* @return This builder for chaining.
*/
public Builder setMax(double value) {
max_ = value;
onChanged();
return this;
}
/**
* double max = 3;
* @return This builder for chaining.
*/
public Builder clearMax() {
max_ = 0D;
onChanged();
return this;
}
private double min_ ;
/**
* double min = 4;
* @return The min.
*/
@java.lang.Override
public double getMin() {
return min_;
}
/**
* double min = 4;
* @param value The min to set.
* @return This builder for chaining.
*/
public Builder setMin(double value) {
min_ = value;
onChanged();
return this;
}
/**
* double min = 4;
* @return This builder for chaining.
*/
public Builder clearMin() {
min_ = 0D;
onChanged();
return this;
}
private double count_ ;
/**
* double count = 5;
* @return The count.
*/
@java.lang.Override
public double getCount() {
return count_;
}
/**
* double count = 5;
* @param value The count to set.
* @return This builder for chaining.
*/
public Builder setCount(double value) {
count_ = value;
onChanged();
return this;
}
/**
* double count = 5;
* @return This builder for chaining.
*/
public Builder clearCount() {
count_ = 0D;
onChanged();
return this;
}
private double sum_ ;
/**
* double sum = 6;
* @return The sum.
*/
@java.lang.Override
public double getSum() {
return sum_;
}
/**
* double sum = 6;
* @param value The sum to set.
* @return This builder for chaining.
*/
public Builder setSum(double value) {
sum_ = value;
onChanged();
return this;
}
/**
* double sum = 6;
* @return This builder for chaining.
*/
public Builder clearSum() {
sum_ = 0D;
onChanged();
return this;
}
private double interpolation_ ;
/**
* double interpolation = 7;
* @return The interpolation.
*/
@java.lang.Override
public double getInterpolation() {
return interpolation_;
}
/**
* double interpolation = 7;
* @param value The interpolation to set.
* @return This builder for chaining.
*/
public Builder setInterpolation(double value) {
interpolation_ = value;
onChanged();
return this;
}
/**
* double interpolation = 7;
* @return This builder for chaining.
*/
public Builder clearInterpolation() {
interpolation_ = 0D;
onChanged();
return this;
}
private double stepInterpolation_ ;
/**
* double stepInterpolation = 8;
* @return The stepInterpolation.
*/
@java.lang.Override
public double getStepInterpolation() {
return stepInterpolation_;
}
/**
* double stepInterpolation = 8;
* @param value The stepInterpolation to set.
* @return This builder for chaining.
*/
public Builder setStepInterpolation(double value) {
stepInterpolation_ = value;
onChanged();
return this;
}
/**
* double stepInterpolation = 8;
* @return This builder for chaining.
*/
public Builder clearStepInterpolation() {
stepInterpolation_ = 0D;
onChanged();
return this;
}
private double continuousVariance_ ;
/**
* double continuousVariance = 9;
* @return The continuousVariance.
*/
@java.lang.Override
public double getContinuousVariance() {
return continuousVariance_;
}
/**
* double continuousVariance = 9;
* @param value The continuousVariance to set.
* @return This builder for chaining.
*/
public Builder setContinuousVariance(double value) {
continuousVariance_ = value;
onChanged();
return this;
}
/**
* double continuousVariance = 9;
* @return This builder for chaining.
*/
public Builder clearContinuousVariance() {
continuousVariance_ = 0D;
onChanged();
return this;
}
private double discreteVariance_ ;
/**
* double discreteVariance = 10;
* @return The discreteVariance.
*/
@java.lang.Override
public double getDiscreteVariance() {
return discreteVariance_;
}
/**
* double discreteVariance = 10;
* @param value The discreteVariance to set.
* @return This builder for chaining.
*/
public Builder setDiscreteVariance(double value) {
discreteVariance_ = value;
onChanged();
return this;
}
/**
* double discreteVariance = 10;
* @return This builder for chaining.
*/
public Builder clearDiscreteVariance() {
discreteVariance_ = 0D;
onChanged();
return this;
}
private double totalVariation_ ;
/**
* double totalVariation = 11;
* @return The totalVariation.
*/
@java.lang.Override
public double getTotalVariation() {
return totalVariation_;
}
/**
* double totalVariation = 11;
* @param value The totalVariation to set.
* @return This builder for chaining.
*/
public Builder setTotalVariation(double value) {
totalVariation_ = value;
onChanged();
return this;
}
/**
* double totalVariation = 11;
* @return This builder for chaining.
*/
public Builder clearTotalVariation() {
totalVariation_ = 0D;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:com.cognite.v1.timeseries.proto.AggregateDatapoint)
}
// @@protoc_insertion_point(class_scope:com.cognite.v1.timeseries.proto.AggregateDatapoint)
private static final com.cognite.v1.timeseries.proto.AggregateDatapoint DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.cognite.v1.timeseries.proto.AggregateDatapoint();
}
public static com.cognite.v1.timeseries.proto.AggregateDatapoint getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public AggregateDatapoint parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.cognite.v1.timeseries.proto.AggregateDatapoint getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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