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object GpuDivModLike

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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. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_]
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    @native()
  10. def hashCode(): Int
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    @native()
  11. def isDivOverflow(left: GpuScalar, right: GpuColumnVector): Boolean
  12. def isDivOverflow(left: GpuColumnVector, right: GpuScalar): Boolean
  13. def isDivOverflow(left: GpuColumnVector, right: GpuColumnVector): Boolean

    This is for the case as below.

    This is for the case as below.

    left : [1, 2, Long.MinValue, 3, Long.MinValue] right: [2, -1, -1, -1, 6]

    The 3rd row (Long.MinValue, -1) will cause an overflow of the integral division.

  14. final def isInstanceOf[T0]: Boolean
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  15. def isScalarZero(s: Scalar): Boolean
  16. def makeZeroScalar(dtype: DType): Scalar
  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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  19. final def notifyAll(): Unit
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  20. def replaceZeroWithNull(v: ColumnVector): ColumnVector
  21. final def synchronized[T0](arg0: ⇒ T0): T0
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  22. def toString(): String
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  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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