Class

com.cra.figaro.algorithm.structured

ComponentCollection

Related Doc: package structured

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class ComponentCollection extends AnyRef

A collection of problem components. This data structure manages all the components being used in the solution of a top-level problem and its nested subproblems. Every element exists in at most one component. To create a new component for an element, you need to say what problem it belongs to.

This class is intended for models that do not use chain function memoization recursively; for this purpose, use RecursiveComponentCollection.

Linear Supertypes
AnyRef, Any
Known Subclasses
IncrementingCollection, MinimalIncrementingCollection, SelectiveIncrementingCollection
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Instance Constructors

  1. new ComponentCollection()

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Type Members

  1. type Expansion = Tuple2[Function1[_, Element[_]], _]

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    An expansion is defined by a generative process (a function) that produces an element, and a parent value used as the argument to the function.

Value Members

  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. def apply[T](atomic: Atomic[T]): AtomicComponent[T]

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    Get the component associated with this element in this collection.

    Get the component associated with this element in this collection. Throws an exception if the element is not associated with any component.

  5. def apply[T](makeArray: MakeArray[T]): MakeArrayComponent[T]

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    Get the component associated with this element in this collection.

    Get the component associated with this element in this collection. Throws an exception if the element is not associated with any component.

  6. def apply[T](apply: Apply[T]): ApplyComponent[T]

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    Get the component associated with this element in this collection.

    Get the component associated with this element in this collection. Throws an exception if the element is not associated with any component.

  7. def apply[P, T](chain: Chain[P, T]): ChainComponent[P, T]

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    Get the component associated with this element in this collection.

    Get the component associated with this element in this collection. Throws an exception if the element is not associated with any component.

  8. def apply[T](element: Element[T]): ProblemComponent[T]

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    Get the component associated with this element in this collection.

    Get the component associated with this element in this collection. Throws an exception if the element is not associated with any component.

  9. final def asInstanceOf[T0]: T0

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  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  11. val components: Map[Element[_], ProblemComponent[_]]

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    All the components in the collection, each associated with an element.

  12. def contains[T](element: Element[T]): Boolean

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    Does the element have a component in this collection?

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

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  14. def equals(arg0: Any): Boolean

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  15. def finalize(): Unit

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

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  17. def hashCode(): Int

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  18. var intermediates: Set[Variable[_]]

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    Intermediate variables defined during the construction of factors.

    Intermediate variables defined during the construction of factors. These are not associated with any element or component and are to be eliminated wherever they appear.

  19. final def isInstanceOf[T0]: Boolean

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. var rangingStrategy: RangingStrategy

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    Ranging strategy for atomic components.

    Ranging strategy for atomic components. Initially uses the default non-lazy method that samples infinite atomics.

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

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  25. def toString(): String

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  26. var useSingleChainFactor: Boolean

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    Indicates whether to create chain factors by decomposing the chain into several factors or a single factor This defaults to false since all the existing code a decomposition

  27. val variableParents: Map[Variable[_], Set[Variable[_]]]

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    Maps a variable to the parents needed for creating blocks using Gibbs sampling.

    Maps a variable to the parents needed for creating blocks using Gibbs sampling. TODO: test if this variable causes memory leaks.

  28. val variableToComponent: Map[Variable[_], ProblemComponent[_]]

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    Returns the problem component associated with a particular variable.

    Returns the problem component associated with a particular variable. Not valid for intermediate variables.

  29. final def wait(): Unit

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

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

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