Trait/Object

org.apache.daffodil.processors.dfa

DFA

Related Docs: object DFA | package dfa

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trait DFA extends AnyRef

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Abstract Value Members

  1. abstract def run(r: Registers): Unit

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    Runs the DFA.

    Runs the DFA. Terminates when some state has an action that transitions to the final state.

    Results are "returned" by way of side-effecting the dfaStatus member of the Registers object. The results convey that we've either Failed, Succeeded, encountered EndOfData or we need to Pause and make a determination of what follows us before we can continue. It's needed because of this whole idea of 'pausing' and 'resuming' for back tracking.

  2. abstract def states: Array[State]

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    The state machine is an array of states.

    The state machine is an array of states. So each State has a distinguished index. 0 is reserved for the final state.

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. final def runLoop(r: Registers, terminateLoopOnState: Int, finalStatus: StateKind): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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  20. final def wait(arg0: Long): Unit

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