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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.  def apply[N, E[X] <: EdgeLikeIn[X], G[X, Y[Z] <: EdgeLikeIn[Z]] <: Graph[X, Y[Z]] with GraphLike[X, Y[Z], G]](graphCompanion: GraphCompanion[G], metrics: Metrics[N], edgeCompanions: Set[EdgeCompanionBase[E]])(implicit edgeTag: ClassTag[E[N]], nodeTag: ClassTag[N]): GraphGen[N, E, G]
5.  def apply[N, E[X] <: EdgeLikeIn[X], G[X, Y[Z] <: EdgeLikeIn[Z]] <: Graph[X, Y[Z]] with GraphLike[X, Y[Z], G]](graphCompanion: GraphCompanion[G], order: Int, nodeGen: Gen[N], nodeDegrees: NodeDegreeRange, edgeCompanions: Set[EdgeCompanionBase[E]], connected: Boolean, weightFactory: Option[Gen[Long]], labelFactory: Option[Gen[Any]])(implicit edgeTag: ClassTag[E[N]], nodeTag: ClassTag[N]): GraphGen[N, E, G]
6.  final def asInstanceOf[T0]: T0

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7.  def clone(): AnyRef

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8.  def diGraph[N, G[N, E[X] <: EdgeLikeIn[X]] <: Graph[N, E[X]] with GraphLike[N, E[X], G]](graphCompanion: GraphCompanion[G], metrics: Metrics[N])(implicit edgeTag: ClassTag[DiEdge[N]], nodeTag: ClassTag[N]): Arbitrary[G[N, DiEdge]]

   Returns an org.scalacheck.Arbitrary[G[N,DiEdge]] for non-labeled directed graphs of any metrics and any type.

   Returns an org.scalacheck.Arbitrary[G[N,DiEdge]] for non-labeled directed graphs of any metrics and any type.

   metrics

   The Metrics to be applied to the generated graph.

9.  final def eq(arg0: AnyRef): Boolean

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10.  def equals(arg0: Any): Boolean

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11.  def finalize(): Unit

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12.  final def getClass(): Class[_]

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13.  def hashCode(): Int

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14.  final def isInstanceOf[T0]: Boolean

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15.  final def ne(arg0: AnyRef): Boolean

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16.  final def notify(): Unit

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17.  final def notifyAll(): Unit

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18.  def smallConnectedIntDi[G[N, E[X] <: EdgeLikeIn[X]] <: Graph[N, E[X]] with GraphLike[N, E[X], G]](graphCompanion: GraphCompanion[G]): Arbitrary[G[Int, DiEdge]]

    Returns an org.scalacheck.Arbitrary[G[Int,DiEdge]] for small, connected, non-labeled directed graphs with the metrics defined by SmallInt.

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

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20.  def tinyConnectedIntDi[G[N, E[X] <: EdgeLikeIn[X]] <: Graph[N, E[X]] with GraphLike[N, E[X], G]](graphCompanion: GraphCompanion[G]): Arbitrary[G[Int, DiEdge]]

    Returns an org.scalacheck.Arbitrary[G[Int,DiEdge]] for tiny, connected, non-labeled directed graphs with the metrics defined by TinyInt.

21.  def toString(): String

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22.  def unDiGraph[N, G[N, E[X] <: EdgeLikeIn[X]] <: Graph[N, E[X]] with GraphLike[N, E[X], G]](graphCompanion: GraphCompanion[G], metrics: Metrics[N])(implicit edgeTag: ClassTag[UnDiEdge[N]], nodeTag: ClassTag[N]): Arbitrary[G[N, UnDiEdge]]

    Returns an org.scalacheck.Arbitrary[G[N,UnDiEdge]] for non-labeled undirected graphs of any metrics and any type.

    Returns an org.scalacheck.Arbitrary[G[N,UnDiEdge]] for non-labeled undirected graphs of any metrics and any type.

    metrics

    The Metrics to be applied to the generated graph.

23.  final def wait(): Unit

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

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25.  final def wait(arg0: Long): Unit

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26.  object SmallInt extends Metrics[Int]

    Predefined metrics of a 'small' graph with the node type of Int, an order of 20 and a node degree range of 2 to 5 including org.scalacheck.Gen[Int].

27.  object TinyInt extends Metrics[Int]

    Predefined metrics of a 'tiny' graph with the node type of Int, an order of 5 and a node degree range of 2 to 4 including org.scalacheck.Gen[Int].