Test two objects for inequality.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Create a copy of the receiver object.

The default implementation of the clone method is platform dependent.

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).

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

See also equals in scala.Any.

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.

Returns the runtime class representation of the object.

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

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.

Equivalent to !(this eq that).

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

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

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.