lnrpc.FloatMetric.scala Maven / Gradle / Ivy
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// Generated by the Scala Plugin for the Protocol Buffer Compiler.
// Do not edit!
//
// Protofile syntax: PROTO3
package lnrpc
import org.bitcoins.lnd.rpc.LndUtils._
/** @param value
* Arbitrary float value.
* @param normalizedValue
* The value normalized to [0,1] or [-1,1].
*/
@SerialVersionUID(0L)
final case class FloatMetric(
value: _root_.scala.Double = 0.0,
normalizedValue: _root_.scala.Double = 0.0,
unknownFields: _root_.scalapb.UnknownFieldSet = _root_.scalapb.UnknownFieldSet.empty
) extends scalapb.GeneratedMessage with scalapb.lenses.Updatable[FloatMetric] {
@transient
private[this] var __serializedSizeMemoized: _root_.scala.Int = 0
private[this] def __computeSerializedSize(): _root_.scala.Int = {
var __size = 0
{
val __value = value
if (__value != 0.0) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeDoubleSize(1, __value)
}
};
{
val __value = normalizedValue
if (__value != 0.0) {
__size += _root_.com.google.protobuf.CodedOutputStream.computeDoubleSize(2, __value)
}
};
__size += unknownFields.serializedSize
__size
}
override def serializedSize: _root_.scala.Int = {
var __size = __serializedSizeMemoized
if (__size == 0) {
__size = __computeSerializedSize() + 1
__serializedSizeMemoized = __size
}
__size - 1
}
def writeTo(`_output__`: _root_.com.google.protobuf.CodedOutputStream): _root_.scala.Unit = {
{
val __v = value
if (__v != 0.0) {
_output__.writeDouble(1, __v)
}
};
{
val __v = normalizedValue
if (__v != 0.0) {
_output__.writeDouble(2, __v)
}
};
unknownFields.writeTo(_output__)
}
def withValue(__v: _root_.scala.Double): FloatMetric = copy(value = __v)
def withNormalizedValue(__v: _root_.scala.Double): FloatMetric = copy(normalizedValue = __v)
def withUnknownFields(__v: _root_.scalapb.UnknownFieldSet) = copy(unknownFields = __v)
def discardUnknownFields = copy(unknownFields = _root_.scalapb.UnknownFieldSet.empty)
def getFieldByNumber(__fieldNumber: _root_.scala.Int): _root_.scala.Any = {
(__fieldNumber: @_root_.scala.unchecked) match {
case 1 => {
val __t = value
if (__t != 0.0) __t else null
}
case 2 => {
val __t = normalizedValue
if (__t != 0.0) __t else null
}
}
}
def getField(__field: _root_.scalapb.descriptors.FieldDescriptor): _root_.scalapb.descriptors.PValue = {
_root_.scala.Predef.require(__field.containingMessage eq companion.scalaDescriptor)
(__field.number: @_root_.scala.unchecked) match {
case 1 => _root_.scalapb.descriptors.PDouble(value)
case 2 => _root_.scalapb.descriptors.PDouble(normalizedValue)
}
}
def toProtoString: _root_.scala.Predef.String = _root_.scalapb.TextFormat.printToUnicodeString(this)
def companion: lnrpc.FloatMetric.type = lnrpc.FloatMetric
// @@protoc_insertion_point(GeneratedMessage[lnrpc.FloatMetric])
}
object FloatMetric extends scalapb.GeneratedMessageCompanion[lnrpc.FloatMetric] {
implicit def messageCompanion: scalapb.GeneratedMessageCompanion[lnrpc.FloatMetric] = this
def parseFrom(`_input__`: _root_.com.google.protobuf.CodedInputStream): lnrpc.FloatMetric = {
var __value: _root_.scala.Double = 0.0
var __normalizedValue: _root_.scala.Double = 0.0
var `_unknownFields__`: _root_.scalapb.UnknownFieldSet.Builder = null
var _done__ = false
while (!_done__) {
val _tag__ = _input__.readTag()
_tag__ match {
case 0 => _done__ = true
case 9 =>
__value = _input__.readDouble()
case 17 =>
__normalizedValue = _input__.readDouble()
case tag =>
if (_unknownFields__ == null) {
_unknownFields__ = new _root_.scalapb.UnknownFieldSet.Builder()
}
_unknownFields__.parseField(tag, _input__)
}
}
lnrpc.FloatMetric(
value = __value,
normalizedValue = __normalizedValue,
unknownFields = if (_unknownFields__ == null) _root_.scalapb.UnknownFieldSet.empty else _unknownFields__.result()
)
}
implicit def messageReads: _root_.scalapb.descriptors.Reads[lnrpc.FloatMetric] = _root_.scalapb.descriptors.Reads{
case _root_.scalapb.descriptors.PMessage(__fieldsMap) =>
_root_.scala.Predef.require(__fieldsMap.keys.forall(_.containingMessage eq scalaDescriptor), "FieldDescriptor does not match message type.")
lnrpc.FloatMetric(
value = __fieldsMap.get(scalaDescriptor.findFieldByNumber(1).get).map(_.as[_root_.scala.Double]).getOrElse(0.0),
normalizedValue = __fieldsMap.get(scalaDescriptor.findFieldByNumber(2).get).map(_.as[_root_.scala.Double]).getOrElse(0.0)
)
case _ => throw new RuntimeException("Expected PMessage")
}
def javaDescriptor: _root_.com.google.protobuf.Descriptors.Descriptor = LightningProto.javaDescriptor.getMessageTypes().get(113)
def scalaDescriptor: _root_.scalapb.descriptors.Descriptor = LightningProto.scalaDescriptor.messages(113)
def messageCompanionForFieldNumber(__number: _root_.scala.Int): _root_.scalapb.GeneratedMessageCompanion[_] = throw new MatchError(__number)
lazy val nestedMessagesCompanions: Seq[_root_.scalapb.GeneratedMessageCompanion[_ <: _root_.scalapb.GeneratedMessage]] = Seq.empty
def enumCompanionForFieldNumber(__fieldNumber: _root_.scala.Int): _root_.scalapb.GeneratedEnumCompanion[_] = throw new MatchError(__fieldNumber)
lazy val defaultInstance = lnrpc.FloatMetric(
value = 0.0,
normalizedValue = 0.0
)
implicit class FloatMetricLens[UpperPB](_l: _root_.scalapb.lenses.Lens[UpperPB, lnrpc.FloatMetric]) extends _root_.scalapb.lenses.ObjectLens[UpperPB, lnrpc.FloatMetric](_l) {
def value: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Double] = field(_.value)((c_, f_) => c_.copy(value = f_))
def normalizedValue: _root_.scalapb.lenses.Lens[UpperPB, _root_.scala.Double] = field(_.normalizedValue)((c_, f_) => c_.copy(normalizedValue = f_))
}
final val VALUE_FIELD_NUMBER = 1
final val NORMALIZED_VALUE_FIELD_NUMBER = 2
def of(
value: _root_.scala.Double,
normalizedValue: _root_.scala.Double
): _root_.lnrpc.FloatMetric = _root_.lnrpc.FloatMetric(
value,
normalizedValue
)
// @@protoc_insertion_point(GeneratedMessageCompanion[lnrpc.FloatMetric])
}
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