trait LongSquareLike extends HyperCube[LongPoint2DLike, LongSquare] with QueryShape[BigInt, LongPoint2DLike, LongSquare]
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- final def area: BigInt
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- final def bottom: Long
The bottom is defined as the center y coordinate plus the extent minus one, it thus designed the 'last pixel' still inside the square.
The bottom is defined as the center y coordinate plus the extent minus one, it thus designed the 'last pixel' still inside the square. This was changed from the previous definition of 'cy + extent' to be able to use the full 31 bit signed int space for a square without resorting to long conversion.
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- final def containsH(quad: LongSpace.TwoDim.HyperCube): Boolean
Checks whether a given square is fully contained in this square.
Checks whether a given square is fully contained in this square. This is also the case if their bounds full match.
- Definition Classes
- LongSquareLike → HyperCube
- final def containsP(point: LongSpace.TwoDim.PointLike): Boolean
Queries the overlap of this shape with a given
IntPoint2D p.Queries the overlap of this shape with a given
IntPoint2D p. The point is considered to have a side length of 1!- returns
trueif this shape contains or partly overlaps the given point
- Definition Classes
- LongSquareLike → QueryShape → HyperCube
- final def eq(arg0: AnyRef): Boolean
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- final def greatestInterestingH(a: LongSpace.TwoDim.HyperCube, b: LongSpace.TwoDim.PointLike): LongSpace.TwoDim.HyperCube
Calculates the greatest interesting hyper-cube inside this hyper-cube which contains both hyper-cube
aand pointb, and they occupy distinct orthants.Calculates the greatest interesting hyper-cube inside this hyper-cube which contains both hyper-cube
aand pointb, and they occupy distinct orthants.- Definition Classes
- LongSquareLike → HyperCube
- final def greatestInterestingP(a: LongSpace.TwoDim.PointLike, b: LongSpace.TwoDim.PointLike): LongSpace.TwoDim.HyperCube
Calculates the greatest interesting hyper-cube inside this hyper-cube which contains both points
aandb, and they occupy distinct orthants.Calculates the greatest interesting hyper-cube inside this hyper-cube which contains both points
aandb, and they occupy distinct orthants.- Definition Classes
- LongSquareLike → HyperCube
- def hashCode(): Int
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- final def indexOfH(aq: LongSpace.TwoDim.HyperCube): Int
Determines the quadrant index of another internal square
aq.Determines the quadrant index of another internal square
aq.- returns
the index of the quadrant (beginning at 0), or -1 if
aqlies outside of this square.
- Definition Classes
- LongSquareLike → HyperCube
- final def indexOfP(a: LongSpace.TwoDim.PointLike): Int
Determines the quadrant index of a point
a.Determines the quadrant index of a point
a.- returns
the index of the quadrant (beginning at 0), or -1 if
alies outside of this square.
- Definition Classes
- LongSquareLike → HyperCube
- final def isAreaGreater(a: LongSpace.TwoDim.HyperCube, b: BigInt): Boolean
- Definition Classes
- LongSquareLike → QueryShape
- final def isAreaNonEmpty(area: BigInt): Boolean
- Definition Classes
- LongSquareLike → QueryShape
- final def isInstanceOf[T0]: Boolean
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- final def left: Long
- final def maxDistance(point: LongSpace.TwoDim.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
maxDistanceSqand then takes the square root.- Definition Classes
- LongSquareLike → HyperCube
- final def maxDistanceSq(point: LongSpace.TwoDim.PointLike): BigInt
Calculates the maximum squared distance to a point in the euclidean metric.
Calculates the maximum squared distance to a point in the euclidean metric. This is the distance (squared) to the corner which is the furthest from the
point, no matter if it lies within the square or not. - final def minDistance(point: LongSpace.TwoDim.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
minDistanceSqand then takes the square root.- Definition Classes
- LongSquareLike → HyperCube
- final def minDistanceSq(point: LongSpace.TwoDim.PointLike): BigInt
The squared (euclidean) distance of the closest of the square's corners or sides to the point, if the point is outside the square, or zero, if the point is contained
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- final def orthant(idx: Int): LongSpace.TwoDim.HyperCube
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- LongSquareLike → HyperCube
- final def overlapArea(q: LongSpace.TwoDim.HyperCube): BigInt
- Definition Classes
- LongSquareLike → QueryShape
- final def right: Long
The right is defined as the center x coordinate plus the extent minus one, it thus designed the 'last pixel' still inside the square.
The right is defined as the center x coordinate plus the extent minus one, it thus designed the 'last pixel' still inside the square. This was changed from the previous definition of 'cx + extent' to be able to use the full 31 bit signed int space for a square without resorting to long conversion.
- final def side: Long
The side length is two times the extent.
The side length is two times the extent. Note that this may overflow if the extent is greater than
0x3FFFFFFFFFFFFFFF. - final def synchronized[T0](arg0: => T0): T0
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- final def top: Long
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