Result

abstract def activate: Boolean

True iff outputs must also be reevaluated, false iff the propagation ends here.

abstract def forEffect(f: (Observation) ⇒ Unit): Unit

No-allocation accessor for the effect caused by the reevaluation.

abstract def forValue(f: (T) ⇒ Unit): Unit

No-allocation accessor for the optional new value.

abstract def inputs(): Option[Set[of[State]]]

New input resources.

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

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

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit