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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Value Members
- 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.
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
.