Value Members

1.  final def !=(arg0: Any): Boolean

   Test two objects for inequality.

   Test two objects for inequality.

   returns

   true if !(this == that), false otherwise.

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Equivalent to x.hashCode except for boxed numeric types and null.

   Equivalent to x.hashCode except for boxed numeric types and null. For numerics, it returns a hash value which is consistent with value equality: if two value type instances compare as true, then ## will produce the same hash value for each of them. For null returns a hashcode where null.hashCode throws a NullPointerException.

   returns

   a hash value consistent with ==

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   The expression x == that is equivalent to if (x eq null) that eq null else x.equals(that).

   The expression x == that is equivalent to if (x eq null) that eq null else x.equals(that).

   returns

   true if the receiver object is equivalent to the argument; false otherwise.

   Definition Classes

   AnyRef → Any

4.  final def asInstanceOf[T0]: T0

   Cast the receiver object to be of type T0.

   Cast the receiver object to be of type T0.

   Note that the success of a cast at runtime is modulo Scala's erasure semantics. Therefore the expression 1.asInstanceOf[String] will throw a ClassCastException at runtime, while the expression List(1).asInstanceOf[List[String]] will not. In the latter example, because the type argument is erased as part of compilation it is not possible to check whether the contents of the list are of the requested type.

   returns

   the receiver object.

   Definition Classes

   Any

   Exceptions thrown

   ClassCastException if the receiver object is not an instance of the erasure of type T0.

5.  def asJavaParDoubleStream(cc: IterableOnce[java.lang.Double]): DoubleStream

   Create a parallel Java DoubleStream for a Scala collection.

   Create a parallel Java DoubleStream for a Scala collection.

   Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

   Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

6.  def asJavaParDoubleStreamFromFloat(cc: IterableOnce[java.lang.Float]): DoubleStream

   Create a parallel Java DoubleStream for a Scala collection.

   Create a parallel Java DoubleStream for a Scala collection.

   Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

   Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

7.  def asJavaParIntStream(cc: IterableOnce[Integer]): IntStream

   Create a parallel Java IntStream for a Scala collection.

   Create a parallel Java IntStream for a Scala collection.

   Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

   Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

8.  def asJavaParIntStreamFromByte(cc: IterableOnce[java.lang.Byte]): IntStream

   Create a parallel Java IntStream for a Scala collection.

   Create a parallel Java IntStream for a Scala collection.

   Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

   Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

9.  def asJavaParIntStreamFromChar(cc: IterableOnce[Character]): IntStream

   Create a parallel Java IntStream for a Scala collection.

   Create a parallel Java IntStream for a Scala collection.

   Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

   Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

10.  def asJavaParIntStreamFromShort(cc: IterableOnce[java.lang.Short]): IntStream

    Create a parallel Java IntStream for a Scala collection.

    Create a parallel Java IntStream for a Scala collection.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

11.  def asJavaParKeyDoubleStream[V](m: Map[java.lang.Double, V]): DoubleStream

    Create a parallel Java DoubleStream for the keys of a Scala Map.

    Create a parallel Java DoubleStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

12.  def asJavaParKeyDoubleStreamFromFloat[V](m: Map[java.lang.Float, V]): DoubleStream

    Create a parallel Java DoubleStream for the keys of a Scala Map.

    Create a parallel Java DoubleStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

13.  def asJavaParKeyIntStream[V](m: Map[Integer, V]): IntStream

    Create a parallel Java IntStream for the keys of a Scala Map.

    Create a parallel Java IntStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

14.  def asJavaParKeyIntStreamFromByte[V](m: Map[java.lang.Byte, V]): IntStream

    Create a parallel Java IntStream for the keys of a Scala Map.

    Create a parallel Java IntStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

15.  def asJavaParKeyIntStreamFromChar[V](m: Map[Character, V]): IntStream

    Create a parallel Java IntStream for the keys of a Scala Map.

    Create a parallel Java IntStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

16.  def asJavaParKeyIntStreamFromShort[V](m: Map[java.lang.Short, V]): IntStream

    Create a parallel Java IntStream for the keys of a Scala Map.

    Create a parallel Java IntStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

17.  def asJavaParKeyLongStream[V](m: Map[java.lang.Long, V]): LongStream

    Create a parallel Java LongStream for the keys of a Scala Map.

    Create a parallel Java LongStream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

18.  def asJavaParKeyStream[K, V](m: Map[K, V]): java.util.stream.Stream[K]

    Create a parallel Java Stream for the keys of a Scala Map.

    Create a parallel Java Stream for the keys of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

19.  def asJavaParLongStream(cc: IterableOnce[java.lang.Long]): LongStream

    Create a parallel Java LongStream for a Scala collection.

    Create a parallel Java LongStream for a Scala collection.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

20.  def asJavaParStream[A](cc: IterableOnce[A]): java.util.stream.Stream[A]

    Create a parallel Java Stream for a Scala collection.

    Create a parallel Java Stream for a Scala collection.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

21.  def asJavaParValueDoubleStream[K](m: Map[K, java.lang.Double]): DoubleStream

    Create a parallel Java DoubleStream for the values of a Scala Map.

    Create a parallel Java DoubleStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

22.  def asJavaParValueDoubleStreamFromFloat[K](m: Map[K, java.lang.Float]): DoubleStream

    Create a parallel Java DoubleStream for the values of a Scala Map.

    Create a parallel Java DoubleStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

23.  def asJavaParValueIntStream[K](m: Map[K, Integer]): IntStream

    Create a parallel Java IntStream for the values of a Scala Map.

    Create a parallel Java IntStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

24.  def asJavaParValueIntStreamFromByte[K](m: Map[K, java.lang.Byte]): IntStream

    Create a parallel Java IntStream for the values of a Scala Map.

    Create a parallel Java IntStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

25.  def asJavaParValueIntStreamFromChar[K](m: Map[K, Character]): IntStream

    Create a parallel Java IntStream for the values of a Scala Map.

    Create a parallel Java IntStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

26.  def asJavaParValueIntStreamFromShort[K](m: Map[K, java.lang.Short]): IntStream

    Create a parallel Java IntStream for the values of a Scala Map.

    Create a parallel Java IntStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

27.  def asJavaParValueLongStream[K](m: Map[K, java.lang.Long]): LongStream

    Create a parallel Java LongStream for the values of a Scala Map.

    Create a parallel Java LongStream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

28.  def asJavaParValueStream[K, V](m: Map[K, V]): java.util.stream.Stream[V]

    Create a parallel Java Stream for the values of a Scala Map.

    Create a parallel Java Stream for the values of a Scala Map.

    Note: parallel processing is only efficient for collections that have a Stepper implementation which supports efficient splitting. For collections where this is the case, the stepper method has a return type marked with EfficientSplit.

29.  def asJavaSeqDoubleStream(cc: IterableOnce[java.lang.Double]): DoubleStream

    Create a sequential Java DoubleStream for a Scala collection.

    Create a sequential Java DoubleStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

30.  def asJavaSeqDoubleStreamFromFloat(cc: IterableOnce[java.lang.Float]): DoubleStream

    Create a sequential Java DoubleStream for a Scala collection.

    Create a sequential Java DoubleStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

31.  def asJavaSeqIntStream(cc: IterableOnce[Integer]): IntStream

    Create a sequential Java IntStream for a Scala collection.

    Create a sequential Java IntStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

32.  def asJavaSeqIntStreamFromByte(cc: IterableOnce[java.lang.Byte]): IntStream

    Create a sequential Java IntStream for a Scala collection.

    Create a sequential Java IntStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

33.  def asJavaSeqIntStreamFromChar(cc: IterableOnce[Character]): IntStream

    Create a sequential Java IntStream for a Scala collection.

    Create a sequential Java IntStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

34.  def asJavaSeqIntStreamFromShort(cc: IterableOnce[java.lang.Short]): IntStream

    Create a sequential Java IntStream for a Scala collection.

    Create a sequential Java IntStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

35.  def asJavaSeqKeyDoubleStream[V](m: Map[java.lang.Double, V]): DoubleStream

    Create a sequential Java DoubleStream for the keys of a Scala Map.

    Create a sequential Java DoubleStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

36.  def asJavaSeqKeyDoubleStreamFromFloat[V](m: Map[java.lang.Float, V]): DoubleStream

    Create a sequential Java DoubleStream for the keys of a Scala Map.

    Create a sequential Java DoubleStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

37.  def asJavaSeqKeyIntStream[V](m: Map[Integer, V]): IntStream

    Create a sequential Java IntStream for the keys of a Scala Map.

    Create a sequential Java IntStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

38.  def asJavaSeqKeyIntStreamFromByte[V](m: Map[java.lang.Byte, V]): IntStream

    Create a sequential Java IntStream for the keys of a Scala Map.

    Create a sequential Java IntStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

39.  def asJavaSeqKeyIntStreamFromChar[V](m: Map[Character, V]): IntStream

    Create a sequential Java IntStream for the keys of a Scala Map.

    Create a sequential Java IntStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

40.  def asJavaSeqKeyIntStreamFromShort[V](m: Map[java.lang.Short, V]): IntStream

    Create a sequential Java IntStream for the keys of a Scala Map.

    Create a sequential Java IntStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

41.  def asJavaSeqKeyLongStream[V](m: Map[java.lang.Long, V]): LongStream

    Create a sequential Java LongStream for the keys of a Scala Map.

    Create a sequential Java LongStream for the keys of a Scala Map.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

42.  def asJavaSeqKeyStream[K, V](m: Map[K, V]): java.util.stream.Stream[K]

    Create a sequential Java Stream for the keys of a Scala Map.

43.  def asJavaSeqLongStream(cc: IterableOnce[java.lang.Long]): LongStream

    Create a sequential Java LongStream for a Scala collection.

    Create a sequential Java LongStream for a Scala collection.

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

44.  def asJavaSeqStream[A](cc: IterableOnce[A]): java.util.stream.Stream[A]

    Create a sequential Java Stream for a Scala collection.

45.  def asJavaSeqValueDoubleStream[K](m: Map[K, java.lang.Double]): DoubleStream

    Create a sequential Java DoubleStream for the values of a

    Create a sequential Java DoubleStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

46.  def asJavaSeqValueDoubleStreamFromFloat[K](m: Map[K, java.lang.Float]): DoubleStream

    Create a sequential Java DoubleStream for the values of a

    Create a sequential Java DoubleStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

47.  def asJavaSeqValueIntStream[K](m: Map[K, Integer]): IntStream

    Create a sequential Java IntStream for the values of a

    Create a sequential Java IntStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

48.  def asJavaSeqValueIntStreamFromByte[K](m: Map[K, java.lang.Byte]): IntStream

    Create a sequential Java IntStream for the values of a

    Create a sequential Java IntStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

49.  def asJavaSeqValueIntStreamFromChar[K](m: Map[K, Character]): IntStream

    Create a sequential Java IntStream for the values of a

    Create a sequential Java IntStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

50.  def asJavaSeqValueIntStreamFromShort[K](m: Map[K, java.lang.Short]): IntStream

    Create a sequential Java IntStream for the values of a

    Create a sequential Java IntStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

51.  def asJavaSeqValueLongStream[K](m: Map[K, java.lang.Long]): LongStream

    Create a sequential Java LongStream for the values of a

    Create a sequential Java LongStream for the values of a

    Note: this method uses the boxed type java.lang.X instead of the primitive type scala.X to improve compatibility when using it in Java code (the Scala compiler emits C[Int] as C[Object] in bytecode due to scala/bug#4214). In Scala code, add import scala.jdk.StreamConverters._ and use the extension methods instead.

52.  def asJavaSeqValueStream[K, V](m: Map[K, V]): java.util.stream.Stream[V]

    Create a sequential Java Stream for the values of a Scala Map.

53.  def clone(): AnyRef

    Create a copy of the receiver object.

    Create a copy of the receiver object.

    The default implementation of the clone method is platform dependent.

    returns

    a copy of the receiver object.

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.CloneNotSupportedException]) @native()

    Note

    not specified by SLS as a member of AnyRef

54.  final def eq(arg0: AnyRef): Boolean

    Tests whether the argument (that) is a reference to the receiver object (this).

    Tests whether the argument (that) is a reference to the receiver object (this).

    The eq method implements an equivalence relation on non-null instances of AnyRef, and has three additional properties:

    • It is consistent: for any non-null instances x and y of type AnyRef, multiple invocations of x.eq(y) consistently returns true or consistently returns false.
    • For any non-null instance x of type AnyRef, x.eq(null) and null.eq(x) returns false.
    • null.eq(null) returns true.

    When overriding the equals or hashCode methods, it is important to ensure that their behavior is consistent with reference equality. Therefore, if two objects are references to each other (o1 eq o2), they should be equal to each other (o1 == o2) and they should hash to the same value (o1.hashCode == o2.hashCode).

    returns

    true if the argument is a reference to the receiver object; false otherwise.

    Definition Classes

    AnyRef

55.  def equals(arg0: AnyRef): Boolean

    The equality method for reference types.

    The equality method for reference types. Default implementation delegates to eq.

    See also equals in scala.Any.

    returns

    true if the receiver object is equivalent to the argument; false otherwise.

    Definition Classes

    AnyRef → Any

56.  def finalize(): Unit

    Called by the garbage collector on the receiver object when there are no more references to the object.

    Called by the garbage collector on the receiver object when there are no more references to the object.

    The details of when and if the finalize method is invoked, as well as the interaction between finalize and non-local returns and exceptions, are all platform dependent.

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.Throwable])

    Note

    not specified by SLS as a member of AnyRef

57.  final def getClass(): Class[_ <: AnyRef]

    Returns the runtime class representation of the object.

    Returns the runtime class representation of the object.

    returns

    a class object corresponding to the runtime type of the receiver.

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

58.  def hashCode(): Int

    The hashCode method for reference types.

    The hashCode method for reference types. See hashCode in scala.Any.

    returns

    the hash code value for this object.

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

59.  final def isInstanceOf[T0]: Boolean

    Test whether the dynamic type of the receiver object is T0.

    Test whether the dynamic type of the receiver object is T0.

    Note that the result of the test is modulo Scala's erasure semantics. Therefore the expression 1.isInstanceOf[String] will return false, while the expression List(1).isInstanceOf[List[String]] will return true. In the latter example, because the type argument is erased as part of compilation it is not possible to check whether the contents of the list are of the specified type.

    returns

    true if the receiver object is an instance of erasure of type T0; false otherwise.

    Definition Classes

    Any

60.  final def ne(arg0: AnyRef): Boolean

    Equivalent to !(this eq that).

    Equivalent to !(this eq that).

    returns

    true if the argument is not a reference to the receiver object; false otherwise.

    Definition Classes

    AnyRef

61.  final def notify(): Unit

    Wakes up a single thread that is waiting on the receiver object's monitor.

    Wakes up a single thread that is waiting on the receiver object's monitor.

    Definition Classes

    AnyRef

    Annotations

    @native()

    Note

    not specified by SLS as a member of AnyRef

62.  final def notifyAll(): Unit

    Wakes up all threads that are waiting on the receiver object's monitor.

    Wakes up all threads that are waiting on the receiver object's monitor.

    Definition Classes

    AnyRef

    Annotations

    @native()

    Note

    not specified by SLS as a member of AnyRef

63.  final def synchronized[T0](arg0: => T0): T0

    Definition Classes

    AnyRef

64.  def toString(): String

    Creates a String representation of this object.

    Creates a String representation of this object. The default representation is platform dependent. On the java platform it is the concatenation of the class name, "@", and the object's hashcode in hexadecimal.

    returns

    a String representation of the object.

    Definition Classes

    AnyRef → Any

65.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.InterruptedException])

66.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.InterruptedException])

67.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws(classOf[java.lang.InterruptedException]) @native()