
org.coursera.courier.data.IntToIntMap.scala Maven / Gradle / Ivy
package org.coursera.courier.data
import javax.annotation.Generated
import com.linkedin.data.ByteString
import com.linkedin.data.DataMap
import com.linkedin.data.DataList
import com.linkedin.data.schema.MapDataSchema
import com.linkedin.data.schema.DataSchema
import com.linkedin.data.template.DataTemplate
import com.linkedin.data.template.DataTemplateUtil
import org.coursera.courier.templates.DataTemplates
import org.coursera.courier.templates.DataTemplates.DataConversion
import scala.collection.generic.CanBuildFrom
import scala.collection.immutable
import scala.collection.mutable
import scala.collection.JavaConverters._
import com.linkedin.data.template.Custom
import org.coursera.courier.codecs.InlineStringCodec
@Generated(value = Array("IntToIntMap"), comments = "Courier Data Template.", date = "Fri Aug 14 14:51:38 PDT 2015")
final class IntToIntMap(private val dataMap: DataMap)
extends immutable.Iterable[(Int, Int)]
with Map[Int, Int]
with immutable.MapLike[Int, Int, immutable.Map[Int, Int]]
with DataTemplate[DataMap] {
import IntToIntMap._
private[this] lazy val map = dataMap.asScala.map { case (k, v) => coerceKeyInput(k) -> coerceInput(v) }.toMap
private[this] def coerceInput(any: AnyRef): Int = {
DataTemplateUtil.coerceOutput(any, classOf[java.lang.Integer])
}
private[this] def coerceKeyInput(key: String): Int = {
def coerceKeyDataInput(any: AnyRef): Int = {
DataTemplateUtil.coerceOutput(any, classOf[java.lang.Integer])
}
coerceKeyDataInput(InlineStringCodec.stringToData(key, KEY_SCHEMA))
}
override def get(key: Int): Option[Int] = map.get(key)
override def iterator: Iterator[(Int, Int)] = map.iterator
override def +[F >: Int](kv: (Int, F)): Map[Int, F] = {
val (key, value) = kv
value match {
case v: Int =>
val copy = dataMap.copy()
copy.put(coerceKeyOutput(key), coerceOutput(v))
copy.makeReadOnly()
new IntToIntMap(copy)
case _: Any =>
(iterator ++ Iterator.single(kv)).toMap
}
}
override def -(key: Int): IntToIntMap = {
val copy = dataMap.copy()
copy.remove(coerceKeyOutput(key))
copy.makeReadOnly()
new IntToIntMap(copy)
}
override def schema(): DataSchema = IntToIntMap.SCHEMA
override def data(): DataMap = dataMap
override def copy(): DataTemplate[DataMap] = this
}
object IntToIntMap {
val SCHEMA = DataTemplateUtil.parseSchema("""{"type":"map","values":"int","keys":"int"}""").asInstanceOf[MapDataSchema]
val KEY_SCHEMA = DataTemplateUtil.parseSchema(""""int"""")
val empty = IntToIntMap()
def apply(elems: (Int, Int)*): IntToIntMap = {
IntToIntMap(elems.toMap)
}
def apply(map: Map[Int, Int]): IntToIntMap = {
new IntToIntMap(new DataMap(map.map { case (k, v) => coerceKeyOutput(k) -> coerceOutput(v) }.asJava))
}
def apply(dataMap: DataMap, conversion: DataConversion): IntToIntMap = {
new IntToIntMap(DataTemplates.makeImmutable(dataMap, conversion))
}
def newBuilder = new DataBuilder()
implicit val canBuildFrom = new CanBuildFrom[IntToIntMap, (Int, Int), IntToIntMap] {
def apply(from: IntToIntMap) = new DataBuilder(from)
def apply() = newBuilder
}
class DataBuilder(initial: IntToIntMap) extends mutable.Builder[(Int, Int), IntToIntMap] {
def this() = this(new IntToIntMap(new DataMap()))
val entries = new DataMap(initial.data())
def +=(kv: (Int, Int)): this.type = {
val (key, value) = kv
entries.put(coerceKeyOutput(key), coerceOutput(value))
this
}
def clear() = {
entries.clear()
}
def result() = {
entries.makeReadOnly()
new IntToIntMap(entries)
}
}
private def coerceOutput(value: Int): AnyRef = {
DataTemplateUtil.coerceInput(Int.box(value), classOf[java.lang.Integer], classOf[java.lang.Integer])
}
private def coerceKeyOutput(key: Int): String = {
def coerceKeyDataOutput(value: Int): AnyRef = {
DataTemplateUtil.coerceInput(Int.box(value), classOf[java.lang.Integer], classOf[java.lang.Integer])
}
InlineStringCodec.dataToString(coerceKeyDataOutput(key))
}
implicit def wrap(map: Map[Int, Int]): IntToIntMap = {
IntToIntMap(map)
}
}
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