de.sciss.lucre.geom

HyperCube

trait HyperCube[D <: Space[D]] extends AnyRef

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  1. abstract def contains(hyperCube: D.HyperCube): Boolean

    Checks whether a given hyper-cube is fully contained in this hyper-cube.

    Checks whether a given hyper-cube is fully contained in this hyper-cube. This is also the case if their bounds full match.

  2. abstract def contains(point: D.PointLike): Boolean

  3. abstract def greatestInteresting(a: D.HyperCube, b: D.PointLike): D.HyperCube

    Calculates the greatest interesting hyper-cube inside this hyper-cube which contains both hyper-cube a and point b, and they occupy distinct orthants.

  4. abstract def greatestInteresting(a: D.PointLike, b: D.PointLike): D.HyperCube

    Calculates the greatest interesting hyper-cube inside this hyper-cube which contains both points a and b, and they occupy distinct orthants.

  5. abstract def indexOf(inner: D.HyperCube): Int

    Determines the orthant index of another internal hyper-cube inner.

    Determines the orthant index of another internal hyper-cube inner.

    returns

    the index of the orthant (beginning at 0), or -1 if inner lies outside of this hyper-cube.

  6. abstract def indexOf(point: D.PointLike): Int

    Determines the orthant index of a point point.

    Determines the orthant index of a point point.

    returns

    the index of the orthant (beginning at 0), or -1 if point lies outside of this hyper-cube.

  7. abstract def maxDistance(point: D.PointLike): Double

    Calculates the maximum distance to a point in the euclidean metric.

    Calculates the maximum distance to a point in the euclidean metric. This calls maxDistanceSq and then takes the square root.

  8. abstract def minDistance(point: D.PointLike): Double

    Calculates the minimum distance to a point in the euclidean metric.

    Calculates the minimum distance to a point in the euclidean metric. This calls minDistanceSq and then takes the square root.

  9. abstract def orthant(idx: Int): D.HyperCube

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