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 LongMath}.
 *
 * @author Louis Wasserman
 */
public class LongMathBenchmark {
  private static final int[] exponents = new int[ARRAY_SIZE];

    assertThat(cookie.name).isEqualTo("a")
    assertThat(cookie.value).isEqualTo("android")
    assertThat(cookie.commentURL).isNull()
    assertThat(cookie.discard).isFalse()
    // Converting to a fixed date can cause rounding!
    assertThat(cookie.maxAge.toDouble()).isCloseTo(60.0, 5.0)
    assertThat(cookie.path).isEqualTo("/path")
    assertThat(cookie.secure).isTrue()
  }

  @Test
  fun testQuotedAttributeValues() {

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];

  // The total number of nodes that should be running the daemon
  // pod (including nodes correctly running the daemon pod).
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 desiredNumberScheduled = 3;

  // numberReady is the number of nodes that should be running the daemon pod and have one
  // or more of the daemon pod running with a Ready Condition.
  optional int32 numberReady = 4;

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 DoubleMath}.
 *
 * @author Louis Wasserman
 */
public class DoubleMathRoundingBenchmark {
  private static final double[] doubleInIntRange = new double[ARRAY_SIZE];

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

/**
 * Benchmarks for the rounding methods of {@code BigIntegerMath}.
 *
 * @author Louis Wasserman
 */
public class BigIntegerMathRoundingBenchmark {
  private static final BigInteger[] nonzero1 = new BigInteger[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.MathBenchmarking.randomPositiveBigInteger;

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

/**
 * Benchmarks for the non-rounding methods of {@code LongMath}.
 *
 * @author Louis Wasserman
 */
public class LongMathBenchmark {
  private static final int[] exponents = new int[ARRAY_SIZE];

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

/**
 * Benchmarks for the non-rounding methods of {@code BigIntegerMath}.
 *
 * @author Louis Wasserman
 */
public class BigIntegerMathBenchmark {
  private static final int[] factorials = new int[ARRAY_SIZE];

    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));