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,

    // seem to be a worthwhile tradeoff in a browser.
    return matcher;
  }

  static String formatCompact4Digits(double value) {
    return toPrecision(value, 4);
  }

  @JsMethod(name = "Number.prototype.toPrecision.call", namespace = JsPackage.GLOBAL)
  private static native String toPrecision(double value, int precision);

  @JsMethod
  static native boolean stringIsNullOrEmpty(@Nullable String string) /*-{

        monitorTarget.append(buf, "shortKey", supplier);
        assertEquals("\"shortKey\":42", buf.toString());
    }

    // Test append method with double array
    public void test_append_doubleArray() {
        StringBuilder buf = new StringBuilder();
        double[] values = { 1.5, 2.3, 3.7 };
        Supplier<Object> supplier = () -> values;

        monitorTarget.append(buf, "arrayKey", supplier);

    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,

 *
 * @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

   * requestCount}, or {@code 1.0} when {@code requestCount == 0}. Note that {@code hitRate +
   * missRate =~ 1.0}.
   */
  public double hitRate() {
    long requestCount = requestCount();
    return (requestCount == 0) ? 1.0 : (double) hitCount / requestCount;
  }

  /**
   * Returns the number of times {@link Cache} lookup methods have returned an uncached (newly

    }
    /*
     * 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))

   * 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;
  }

                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) {

    }

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

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