本文整理汇总了Scala中scalafx.collections.ObservableBuffer类的典型用法代码示例。如果您正苦于以下问题：Scala ObservableBuffer类的具体用法？Scala ObservableBuffer怎么用？Scala ObservableBuffer使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了ObservableBuffer类的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Scala代码示例。
示例1: StenoDictionary
//设置package包名称以及导入依赖的类
package bozzy.steno
import java.io.File
import java.nio.charset.MalformedInputException
import scala.io.Source
import scalafx.collections.ObservableBuffer
class StenoDictionary(val filename: String, val format: DictionaryFormat.Value) {
val entries = ObservableBuffer[DictionaryEntry]()
val dictionaryName = new File(filename) getName
if (format == DictionaryFormat.RTF) {
try {
// Ideally, we'd have UTF-8
DictionaryFormat.parseRtfDictionary(Source.fromFile(filename).mkString)
.foreach((entry: (String, String)) =>
entries add new DictionaryEntry(entry._1, entry._2, DictionaryFormat.RTF, this))
} catch {
case _: MalformedInputException => {
// But most traditional steno dictionaries will be in ANSI
entries removeAll entries
DictionaryFormat.parseRtfDictionary(Source.fromFile(filename, "Cp1252").mkString)
.foreach((entry: (String, String)) =>
entries add new DictionaryEntry(entry._1, entry._2, DictionaryFormat.RTF, this))
}
}
} else if (format == DictionaryFormat.JSON) {
val jsonDictionaryString = try Source.fromFile(filename).mkString catch {
case _: MalformedInputException => Source.fromFile(filename, "Cp1252").mkString
}
DictionaryFormat.parseJsonDictionary(jsonDictionaryString).foreach((entry: (String, String)) =>
entries add new DictionaryEntry(entry._1, entry._2, DictionaryFormat.JSON, this))
}
override def toString = dictionaryName
} 示例2: UiUtils
//设置package包名称以及导入依赖的类
package net.mikolak.pomisos.utils
import net.mikolak.pomisos.crud.{DbIdable, MultiDao}
import net.mikolak.pomisos.data.WithDbId
import shapeless.Lens
import scalafx.beans.property.ObjectProperty
import scalafx.collections.ObservableBuffer
import scalafx.collections.ObservableBuffer.{Add, Remove, Update}
object UiUtils {
def propFor[Type <: WithDbId, FieldType](l: Lens[Type, FieldType], o: Type)(
saveFunc: Type => Type): ObjectProperty[FieldType] = {
var obj = o
val prop = ObjectProperty.apply(l.get(o))
prop.onChange((_, _, newVal) => {
obj = saveFunc(l.set(o)(newVal))
})
prop
}
def observerFor[T <: Product with Serializable: DbIdable](
dao: MultiDao[T]): (ObservableBuffer[_ <: T], Seq[ObservableBuffer.Change[T]]) => Unit =
(items, rawEvents) => {
//splice Add and Remove events into collection
val eventMap = rawEvents.groupBy {
case Add(i, _) => i
case Remove(i, _) => i
}
val events = eventMap.toList.flatMap {
case (index, rowEvents) => {
if (rowEvents.exists(_.isInstanceOf[Add[T]]) && rowEvents.exists(_.isInstanceOf[Remove[T]])) {
List(Update(index, index + 1))
} else {
rowEvents
}
}
}
val toId = implicitly[DbIdable[T]]
events.collect {
case Update(from, until) =>
items.slice(from, until).foreach(dao.save)
case Remove(_, removed) =>
val ids = removed.toSeq.flatMap(toId.idsOf)
dao.remove(ids: _*)
}
}
}