object StreamConverters
This object contains methods to create Java Streams that operate on Scala collections (sequentially or in parallel). For more information on Java streams, consult the documentation (https://docs.oracle.com/javase/8/docs/api/java/util/stream/package-summary.html).
The explicit conversion methods defined here are intended to be used in Java code. For Scala code, it is recommended to use the extension methods defined in scala.jdk.StreamConverters.
Note: to convert between Scala collections and classic Java collections, use CollectionConverters.
For details how the stream converters work, see scala.jdk.StreamConverters.
- Source
- StreamConverters.scala
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- StreamConverters
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Value Members
- 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
- final def ##: Int
Equivalent to
x.hashCode
except for boxed numeric types andnull
.Equivalent to
x.hashCode
except for boxed numeric types andnull
. 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. Fornull
returns a hashcode wherenull.hashCode
throws aNullPointerException
.- returns
a hash value consistent with ==
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
The expression
x == that
is equivalent toif (x eq null) that eq null else x.equals(that)
.The expression
x == that
is equivalent toif (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
- 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 aClassCastException
at runtime, while the expressionList(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 typeT0
.
- 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
.Note: this method uses the boxed type
java.lang.X
instead of the primitive typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 scala.collection.Stepper implementation which supports efficient splitting. For collections where this is the case, the
stepper
method has a return type markedwith EfficientSplit
. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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.
- 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - def asJavaSeqStream[A](cc: IterableOnce[A]): java.util.stream.Stream[A]
Create a sequential Java Stream for a Scala collection.
- 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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 typescala.X
to improve compatibility when using it in Java code (the Scala compiler emitsC[Int]
asC[Object]
in bytecode due to scala/bug#4214). In Scala code, addimport scala.jdk.StreamConverters._
and use the extension methods instead. - 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.
- 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.
- 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 ofAnyRef
, and has three additional properties:- It is consistent: for any non-null instances
x
andy
of typeAnyRef
, multiple invocations ofx.eq(y)
consistently returnstrue
or consistently returnsfalse
. - For any non-null instance
x
of typeAnyRef
,x.eq(null)
andnull.eq(x)
returnsfalse
. null.eq(null)
returnstrue
.
When overriding the
equals
orhashCode
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
- It is consistent: for any non-null instances
- def equals(arg0: AnyRef): Boolean
The equality method for reference types.
- 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 betweenfinalize
and non-local returns and exceptions, are all platform dependent.- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable])
- Note
not specified by SLS as a member of AnyRef
- final def getClass(): Class[_ <: AnyRef]
Returns the runtime class representation of the object.
- def hashCode(): Int
The hashCode method for reference types.
- final def isInstanceOf[T0]: Boolean
Test whether the dynamic type of the receiver object has the same erasure as
T0
.Test whether the dynamic type of the receiver object has the same erasure as
T0
.Depending on what
T0
is, the test is done in one of the below ways:T0
is a non-parameterized class type, e.g.BigDecimal
: this method returnstrue
if the value of the receiver object is aBigDecimal
or a subtype ofBigDecimal
.T0
is a parameterized class type, e.g.List[Int]
: this method returnstrue
if the value of the receiver object is someList[X]
for anyX
. For example,List(1, 2, 3).isInstanceOf[List[String]]
will return true.T0
is some singleton typex.type
or literalx
: this method returnsthis.eq(x)
. For example,x.isInstanceOf[1]
is equivalent tox.eq(1)
T0
is an intersectionX with Y
orX & Y: this method is equivalent to
x.isInstanceOf[X] && x.isInstanceOf[Y]T0
is a unionX | Y
: this method is equivalent tox.isInstanceOf[X] || x.isInstanceOf[Y]
T0
is a type parameter or an abstract type member: this method is equivalent toisInstanceOf[U]
whereU
isT0
's upper bound,Any
ifT0
is unbounded. For example,x.isInstanceOf[A]
whereA
is an unbounded type parameter will return true for any value ofx
.
This is exactly equivalent to the type pattern
_: T0
- returns
true
if the receiver object is an instance of erasure of typeT0
;false
otherwise.
- Definition Classes
- Any
- Note
due to the unexpectedness of
List(1, 2, 3).isInstanceOf[List[String]]
returning true andx.isInstanceOf[A]
whereA
is a type parameter or abstract member returning true, these forms issue a warning.
- 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
- 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
- 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
- final def synchronized[T0](arg0: => T0): T0
Executes the code in
body
with an exclusive lock onthis
.Executes the code in
body
with an exclusive lock onthis
.- returns
the result of
body
- Definition Classes
- AnyRef
- 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
- final def wait(): Unit
See https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait--.
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- Note
not specified by SLS as a member of AnyRef
- final def wait(arg0: Long, arg1: Int): Unit
See https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-int-
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- Note
not specified by SLS as a member of AnyRef
- final def wait(arg0: Long): Unit
See https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-.
This is the documentation for the Scala standard library.
Package structure
The scala package contains core types like
Int
,Float
,Array
orOption
which are accessible in all Scala compilation units without explicit qualification or imports.Notable packages include:
scala.collection
and its sub-packages contain Scala's collections frameworkscala.collection.immutable
- Immutable, sequential data-structures such asVector
,List
,Range
,HashMap
orHashSet
scala.collection.mutable
- Mutable, sequential data-structures such asArrayBuffer
,StringBuilder
,HashMap
orHashSet
scala.collection.concurrent
- Mutable, concurrent data-structures such asTrieMap
scala.concurrent
- Primitives for concurrent programming such asFutures
andPromises
scala.io
- Input and output operationsscala.math
- Basic math functions and additional numeric types likeBigInt
andBigDecimal
scala.sys
- Interaction with other processes and the operating systemscala.util.matching
- Regular expressionsOther packages exist. See the complete list on the right.
Additional parts of the standard library are shipped as separate libraries. These include:
scala.reflect
- Scala's reflection API (scala-reflect.jar)scala.xml
- XML parsing, manipulation, and serialization (scala-xml.jar)scala.collection.parallel
- Parallel collections (scala-parallel-collections.jar)scala.util.parsing
- Parser combinators (scala-parser-combinators.jar)scala.swing
- A convenient wrapper around Java's GUI framework called Swing (scala-swing.jar)Automatic imports
Identifiers in the scala package and the
scala.Predef
object are always in scope by default.Some of these identifiers are type aliases provided as shortcuts to commonly used classes. For example,
List
is an alias forscala.collection.immutable.List
.Other aliases refer to classes provided by the underlying platform. For example, on the JVM,
String
is an alias forjava.lang.String
.