Package io.nosqlbench.virtdata.library.curves4.continuous.common

Class InterpolatingLongDoubleSampler

java.lang.Object
io.nosqlbench.virtdata.library.curves4.continuous.common.InterpolatingLongDoubleSampler
All Implemented Interfaces:
java.util.function.LongToDoubleFunction
public class InterpolatingLongDoubleSampler
extends java.lang.Object
implements java.util.function.LongToDoubleFunction
See Interpolate for details on implementation. For the 6 implementations of interpolating samplers which use inverse cumulative distribution tables, care should be given to the following:
  • Input Ranging - ensure that the input type is appropriate for the curve; pre-scaling needs to be matched to the input type
  • resolution, scale, and LUT length; T
  • +1 LUT padding for U=1.0
  • Uniform LERP code in main function
>

  • Constructor Summary

    Constructors 
    Constructor Description
    InterpolatingLongDoubleSampler​(java.util.function.DoubleUnaryOperator icdSource, int resolution, boolean hash, boolean clamp, double clampMin, double clampMax, boolean finite)  

  • Method Summary

    Modifier and Type Method Description
    double applyAsDouble​(long input)  

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • InterpolatingLongDoubleSampler

      public InterpolatingLongDoubleSampler​(java.util.function.DoubleUnaryOperator icdSource, int resolution, boolean hash, boolean clamp, double clampMin, double clampMax, boolean finite)

  • Method Details

    • applyAsDouble

      public double applyAsDouble​(long input)
      Specified by:
      applyAsDouble in interface java.util.function.LongToDoubleFunction