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) {

   * #create(Funnel, int, double)}, or smaller. If it is significantly higher, it is usually the
   * case that too many elements (more than expected) have been put in the {@code BloomFilter},
   * degenerating it.
   *
   * @since 14.0 (since 11.0 as expectedFalsePositiveProbability())
   */
  public double expectedFpp() {
    return Math.pow((double) bits.bitCount() / bitSize(), numHashFunctions);
  }

  private static final String S2 = "44 one million";
  private static final String S3 = "Lowly laundry lefties";
  private static final String S4 = "89273487U#*&#";
  private static final Double D0 = 9.234d;
  private static final Double D1 = -1.2e55;

  @Benchmark
  int hashString_2(int reps) {
    int dummy = 0;
    for (int i = 0; i < reps; i++) {
      dummy += Objects.hashCode(S0, S1);
    }
    return dummy;
  }

     * 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:

        return newDoubler(1, 2);
      }
    }.test();
  }

  public void testDoubler() {
    Iterable<Integer> doubled =
        new Iterable<Integer>() {
          @Override
          public Iterator<Integer> iterator() {
            return newDoubler(2, 32);
          }
        };
    assertThat(doubled).containsExactly(2, 4, 8, 16, 32).inOrder();
  }

  public void testSampleCode() {
    Iterable<Integer> actual =

 *
 * @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

          } else {
            diff[k] += 1;
          }
        }
      }
      // measure probability and assert it's within margin of error
      for (int j = 0; j < hashBits; j++) {
        double prob = (double) diff[j] / (double) (diff[j] + same[j]);
        assertThat(prob).isWithin(epsilon).of(0.50d);
      }
    }
  }

  /**

        "int" to "Int",
        "java.lang.Long" to "Long",
        "long" to "Long",
        "java.lang.Float" to "Float",
        "float" to "Float",
        "java.lang.Double" to "Double",
        "double" to "Double"
    )


// See `org.gradle.kotlin.dsl.internal.sharedruntime.codegen.ApiTypeProviderKt.mappedTypeStrings`
private
val collectionTypeStrings =
    mapOf(

   * 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;
  }

    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,