import static com.google.common.math.MathBenchmarking.randomPositiveDouble;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;

/**
 * Tests for the non-rounding methods of {@code DoubleMath}.
 *
 * @author Louis Wasserman
 */
public class DoubleMathBenchmark {
  private static final double[] positiveDoubles = new double[ARRAY_SIZE];

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import java.math.RoundingMode;

/**
 * Benchmarks for the rounding methods of {@code LongMath}.
 *
 * @author Louis Wasserman
 */
public class LongMathRoundingBenchmark {
  @Param({"DOWN", "UP", "FLOOR", "CEILING", "HALF_EVEN", "HALF_UP", "HALF_DOWN"})
  RoundingMode mode;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import java.math.RoundingMode;

/**
 * Benchmarks for the rounding methods of {@code IntMath}.
 *
 * @author Louis Wasserman
 */
public class IntMathRoundingBenchmark {
  private static final int[] positive = new int[ARRAY_SIZE];

   * is precisely representable as a {@code double}, its {@code double} value will be returned;
   * otherwise, the rounding will choose between the two nearest representable values with {@code
   * mode}.
   *
   * <p>For the case of {@link RoundingMode#HALF_EVEN}, this implementation uses the IEEE 754

import static com.google.common.math.MathPreconditions.checkRoundingUnnecessary;

import com.google.common.annotations.GwtIncompatible;
import java.math.RoundingMode;

/**
 * Helper type to implement rounding {@code X} to a representable {@code double} value according to
 * a {@link RoundingMode}.
 */
@GwtIncompatible
@ElementTypesAreNonnullByDefault
abstract class ToDoubleRounder<X extends Number & Comparable<X>> {
  /**

    } else if (exponent > MAX_EXPONENT) {
      return x.signum() * POSITIVE_INFINITY;
    }

    /*
     * We need the top SIGNIFICAND_BITS + 1 bits, including the "implicit" one bit. To make rounding
     * easier, we pick out the top SIGNIFICAND_BITS + 2 bits, so we have one to help us round up or
     * down. twiceSignifFloor will contain the top SIGNIFICAND_BITS + 2 bits, and signifFloor the

import static com.google.common.math.MathBenchmarking.randomPositiveBigInteger;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;

/**
 * Benchmarks for the non-rounding methods of {@code IntMath}.
 *
 * @author Louis Wasserman
 */
public class IntMathBenchmark {
  private static int[] exponent = new int[ARRAY_SIZE];
  private static int[] factorial = new int[ARRAY_SIZE];

import static com.google.common.math.MathPreconditions.checkRoundingUnnecessary;

import com.google.common.annotations.GwtIncompatible;
import java.math.RoundingMode;

/**
 * Helper type to implement rounding {@code X} to a representable {@code double} value according to
 * a {@link RoundingMode}.
 */
@GwtIncompatible
@ElementTypesAreNonnullByDefault
abstract class ToDoubleRounder<X extends Number & Comparable<X>> {
  /**

  // The maximum number of pods that can be unavailable during the update.
  // Value can be an absolute number (ex: 5) or a percentage of desired pods (ex: 10%).
  // Absolute number is calculated from percentage by rounding down.
  // This can not be 0 if MaxSurge is 0.
  // Defaults to 25%.
  // Example: when this is set to 30%, the old ReplicaSet can be scaled down to 70% of desired pods

    checkState(xSumOfSquaresOfDeltas > 0.0);
    checkState(ySumOfSquaresOfDeltas > 0.0);
    // The product of two positive numbers can be zero if the multiplication underflowed. We
    // force a positive value by effectively rounding up to MIN_VALUE.
    double productOfSumsOfSquaresOfDeltas =
        ensurePositive(xSumOfSquaresOfDeltas * ySumOfSquaresOfDeltas);
    return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));