Transformer

abstract def transform(): OUT

Override to perform transformation and return the desired type

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

def filter(p: (OUT) ⇒ Boolean): Transformer[OUT]

Shouldn't be required in for-comprehension Known issue: https://issues.

def finalize(): Unit

def flatMap[NEXT](f: (OUT) ⇒ Transformer[NEXT]): Transformer[NEXT]

monadic operation that can chain another transformer (will be called implicitly in for-comprehension )

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

lazy val logger: Logger

def map[NEXT](f: (OUT) ⇒ NEXT): Transformer[NEXT]

monadic operation that can yield the last transformer (will be called implicitly at the end of for-comprehension )

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

def validateInput(): Unit

Override this to do input validation

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def zip[ANOTHER_OUT](that: Transformer[ANOTHER_OUT]): Transformer[(OUT, ANOTHER_OUT)]

can be used to chain transformers that can run in parallel