}
          }
        };

    // Expect no exception to be thrown
    sample.noneDeclared();
  }

  @J2ktIncompatible
  @GwtIncompatible // propagateIfPossible
  public void testPropagateIfPossible_NoneDeclared_UncheckedThrown() {
    Sample sample =
        new Sample() {
          @Override
          public void noneDeclared() {
            try {

            }
          }
        };

    // Expect no exception to be thrown
    sample.noneDeclared();
  }

  @J2ktIncompatible
  @GwtIncompatible // propagateIfPossible
  public void testPropagateIfPossible_NoneDeclared_UncheckedThrown() {
    Sample sample =
        new Sample() {
          @Override
          public void noneDeclared() {
            try {

      for (List<Integer> contents : SAMPLE_INPUTS) {
        for (int toRemove = 0; toRemove < 10; toRemove++) {
          assertEquals(
              contents.contains(toRemove) && EVEN.apply(toRemove),
              filter(createUnfiltered(contents), EVEN).remove(toRemove));
        }
      }
    }

    public void testContains() {
      for (List<Integer> contents : SAMPLE_INPUTS) {

      for (List<Integer> contents : SAMPLE_INPUTS) {
        for (int toRemove = 0; toRemove < 10; toRemove++) {
          assertEquals(
              contents.contains(toRemove) && EVEN.apply(toRemove),
              filter(createUnfiltered(contents), EVEN).remove(toRemove));
        }
      }
    }

    public void testContains() {
      for (List<Integer> contents : SAMPLE_INPUTS) {

  public final double populationStandardDeviation() {
    return Math.sqrt(populationVariance());
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample
   * variance</a> of the values. If this dataset is a sample drawn from a population, this is an
   * unbiased estimator of the population variance of the population. The count must be greater than
   * one.
   *

        Artifact artifact = new DefaultArtifact(
                "sample.group",
                "sample-art",
                VersionRange.createFromVersion("1.0"),
                "scope",
                "jar",
                "classifier",
                null);
        artifact.setFile(getTestFile("target/sample-art"));

        StringWagon wagon = (StringWagon) wagonManager.getWagon("string");

   */
  private @Nullable Object generate(TypeToken<?> type) {
    Class<?> rawType = type.getRawType();
    List<Object> samples = sampleInstances.get(rawType);
    Object sample = pickInstance(samples, null);
    if (sample != null) {
      return sample;
    }
    if (rawType.isEnum()) {
      return pickInstance(rawType.getEnumConstants(), null);
    }
    if (type.isArray()) {

  public double populationStandardDeviation() {
    return Math.sqrt(populationVariance());
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Variance#Sample_variance">unbiased sample
   * variance</a> of the values. If this dataset is a sample drawn from a population, this is an
   * unbiased estimator of the population variance of the population. The count must be greater than
   * one.
   *

   *
   * <ul>
   *   <li>The non-private constructor or non-private static factory method with the most parameters
   *       is used to construct the sample instances. In case of tie, the candidate constructors or
   *       factories are tried one after another until one can be used to construct sample
   *       instances.
   *   <li>For the constructor or static factory method used to construct instances, it's checked

    }
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Arithmetic_mean">arithmetic mean</a> of
   * {@code values}.
   *
   * <p>If these values are a sample drawn from a population, this is also an unbiased estimator of
   * the arithmetic mean of the population.
   *
   * @param values a nonempty series of values