object RandomGraph
Provides convenience metrics and methods for the generation of random graphs.
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- trait IntFactory extends Metrics[Int]
- trait Metrics[N] extends MetricsBase[N]
- trait MetricsBase[N] extends AnyRef
Template for
Metricswithconnectedset totrueand some lazy values useful for checking the metrics of generated graphs.
Value Members
- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- def apply[N, E <: Edge[N], G[X, Y <: Edge[X]] <: AnyGraph[X, Y] with GraphLike[X, Y, G]](graphCompanion: GenericGraphFactory[G], order: Int, nodeFactory: => N, nodeDegree: NodeDegreeRange, edgeCompanions: Set[EdgeCompanionBase], connected: Boolean, weightFactory: Option[() => Long], labelFactory: Option[() => Any])(implicit nodeTag: ClassTag[N]): RandomGraph[N, E, G]
- final def asInstanceOf[T0]: T0
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- def clone(): AnyRef
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- protected[lang]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def diGraph[N, G[X, Y <: Edge[X]] <: AnyGraph[X, Y] with GraphLike[X, Y, G]](graphCompanion: GenericGraphFactory[G], metrics: Metrics[N])(implicit nodeTag: ClassTag[N]): RandomGraph[N, DiEdge[N], G]
Returns a generator for non-labeled directed graphs of any metrics and any type.
Returns a generator for non-labeled directed graphs of any metrics and any type.
- graphCompanion
The graph companion object such as
scalax.collection.Graphto be used to generate graphs.- metrics
The
Metricsto be applied to the generated graph.
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- def fromMetrics[N, E <: Edge[N], G[X, Y <: Edge[X]] <: AnyGraph[X, Y] with GraphLike[X, Y, G]](graphCompanion: GenericGraphFactory[G], metrics: Metrics[N], edgeCompanions: Set[EdgeCompanionBase])(implicit nodeTag: ClassTag[N]): RandomGraph[N, E, G]
- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- def smallConnectedIntDi[N, G[X, Y <: Edge[X]] <: AnyGraph[X, Y] with GraphLike[X, Y, G]](graphCompanion: GenericGraphFactory[G]): RandomGraph[Int, DiEdge[Int], G]
Returns a generator for small, connected, non-labeled directed graphs with the metrics defined by
SmallInt.Returns a generator for small, connected, non-labeled directed graphs with the metrics defined by
SmallInt.- graphCompanion
The graph companion object such as
scalax.collection.Graphto be used to generate graphs.
- final def synchronized[T0](arg0: => T0): T0
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- def tinyConnectedIntDi[G[X, Y <: Edge[X]] <: AnyGraph[X, Y] with GraphLike[X, Y, G]](graphCompanion: GenericGraphFactory[G]): RandomGraph[Int, DiEdge[Int], G]
Returns a generator for tiny, connected, non-labeled directed graphs with the metrics defined by
TinyInt.Returns a generator for tiny, connected, non-labeled directed graphs with the metrics defined by
TinyInt.- graphCompanion
The graph companion object such as
scalax.collection.Graphto be used to generate graphs.
- def toString(): String
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- def unDiGraph[N, G[X, Y <: Edge[X]] <: AnyGraph[X, Y] with GraphLike[X, Y, G]](graphCompanion: GenericGraphFactory[G], metrics: Metrics[N])(implicit nodeTag: ClassTag[N]): RandomGraph[N, UnDiEdge[N], G]
Returns a generator for non-labeled undirected graphs of any metrics and any type.
Returns a generator for non-labeled undirected graphs of any metrics and any type.
- graphCompanion
The graph companion object such as
scalax.collection.Graphto be used to generate graphs.- metrics
The
Metricsto be applied to the generated graph.
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- final def wait(): Unit
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- object SmallInt extends IntFactory
Predefined metrics of a 'small' graph with the node type of
Int, an order of20and a node degree range of2to5. - object TinyInt extends IntFactory
Predefined metrics of a 'tiny' graph with the node type of
Int, an order of5and a node degree range of2to4.