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package io.virtdata.libbasics.shared.from_long.to_double;

import io.virtdata.annotations.ThreadSafeMapper;
import io.virtdata.libbasics.shared.from_long.to_long.Hash;

import java.util.function.LongToDoubleFunction;

/*
 * 

This simulates a uniform sample from a range of double values * via long hashing. This function attempts to take a double * unit interval value from a long/long division over the whole * range of long values but via double value types, thus providing * a very linear sample. This means that the range of double * values to be accessed will not fall along all possible doubles, * but will still provide suitable values for ranges close to * high-precision points in the IEEE floating point number line. * This suffices for most reasonable ranges in practice outside * of scientific computing, where large exponents put adjacent * IEEE floating point values much further apart.

* *

This should be consider the default double range sampling * function for most uses, when the exponent is not needed for * readability.

*/ /** * Return a double value within the specified range. This function * uses an intermediate long to arrive at the sampled value before * conversion to double, thus providing a more linear sample at the * expense of some precision at extremely large values. */ @ThreadSafeMapper public class HashedDoubleRange implements LongToDoubleFunction { private final double min; private final double max; private final double interval; private final static double MAX_DOUBLE_VIA_LONG = (double) Long.MAX_VALUE; private final Hash hash = new Hash(); public HashedDoubleRange(double min, double max) { this.min = min; this.max = max; this.interval = max - min; } @Override public double applyAsDouble(long value) { long hashed = hash.applyAsLong(value); double unitScale = ((double) hashed) / MAX_DOUBLE_VIA_LONG; double valueScaled =interval*unitScale + min; return valueScaled; } }




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