return (T) value;
            }
            return (T) Integer.valueOf(value.toString());
        }
        if (clazz.isAssignableFrom(Double.class)) {
            if (value instanceof Double) {
                return (T) value;
            }
            return (T) Double.valueOf(value.toString());
        }
        if (clazz.isAssignableFrom(Float.class)) {
            if (value instanceof Float) {

    }
    /*
     * Let k be the true value of floor(sqrt(x)), so that
     *
     *            k * k <= x          <  (k + 1) * (k + 1)
     * (double) (k * k) <= (double) x <= (double) ((k + 1) * (k + 1))
     *          since casting to double is nondecreasing.
     *          Note that the right-hand inequality is no longer strict.
     * Math.sqrt(k * k) <= Math.sqrt(x) <= Math.sqrt((k + 1) * (k + 1))

    if (x.signum() < 0) {
      throw new IllegalArgumentException(role + " (" + x + ") must be >= 0");
    }
    return x;
  }

  @CanIgnoreReturnValue
  static double checkNonNegative(String role, double x) {
    if (!(x >= 0)) { // not x < 0, to work with NaN.
      throw new IllegalArgumentException(role + " (" + x + ") must be >= 0");
    }
    return x;
  }

    public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

    "roles": {
      "type": "keyword"
    },
    "languages": {
      "type": "keyword"
    },
    "score": {
      "type": "double"
    },
    "tags": {
      "type": "keyword"
    },
    "text": {
      "type": "keyword"
    },
    "userBoost": {
      "type": "double"
    }
  }

   * result is chosen from those possibilities uniformly at random.
   *
   * <p>Zero is treated as having log2 == 0.
   */
  static double randomDouble(int maxExponent) {
    double result = RANDOM_SOURCE.nextDouble();
    result = Math.scalb(result, RANDOM_SOURCE.nextInt(maxExponent + 1));
    return RANDOM_SOURCE.nextBoolean() ? result : -result;
  }

     * than lower ones.
     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }

  // for proper distributions later:

 *
 * @author Ben Yu
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Defaults {
  private Defaults() {}

  private static final Double DOUBLE_DEFAULT = 0d;
  private static final Float FLOAT_DEFAULT = 0f;

  /**
   * Returns the default value of {@code type} as defined by JLS --- {@code 0} for numbers, {@code

    }

    public void setBoost_PercentileRanks(double[] values) {
        setBoost_PercentileRanks(values, null);
    }

    public void setBoost_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setBoost_PercentileRanks("boost", values, opLambda);
    }

  public void testFlatMapToDouble_nullStream() {
    SpliteratorTester.ofDouble(
            () ->
                CollectSpliterators.flatMapToDouble(
                    Arrays.spliterator(new Double[] {1.0, 0.0, 1.0, 2.0, 3.0}),
                    (Double i) -> i == 0.0 ? null : DoubleStream.of(i).spliterator(),
                    Spliterator.SIZED | Spliterator.DISTINCT | Spliterator.NONNULL,
                    4))
        .expect(1.0, 1.0, 2.0, 3.0);