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

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

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

    }

    // Test config methods return consistent values
    public void test_configConsistency() {
        assertEquals("0", mockConfig.getTimeAdjustTimeMillis());
        assertEquals(Long.valueOf(0L), mockConfig.getTimeAdjustTimeMillisAsLong());

        // Test multiple calls return same values
        for (int i = 0; i < 10; i++) {

        String[] protocols;
        String values;

        protocols = new String[] { "http:" };
        values = "http://www.foo.com/";
        assertTrue(UriTypeValidator.check(protocols, values));

        protocols = new String[] { "http:" };
        values = "http://www.foo.com/\nhttp://www.bar.com/";
        assertTrue(UriTypeValidator.check(protocols, values));

        protocols = new String[] { "http:" };

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.misc;

/**
 * A tuple of three values.
 *
 * @author koichik
 * @param <T1>
 *            The type of the first value
 * @param <T2>
 *            The type of the second value
 * @param <T3>
 *            The type of the third value
 */

          sum = t;
        }
        return sum / values.length;
      }
    },
    KNUTH {
      @Override
      double mean(double[] values) {
        double mean = values[0];
        for (int i = 1; i < values.length; i++) {
          mean = mean + (values[i] - mean) / (i + 1);
        }
        return mean;
      }
    };

    abstract double mean(double[] values);
  }

  static class MeanAndVariance {

      double meanByAddAllStats = accumulatorByAddAllStats.mean();
      if (values.hasAnyNaN()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of " + values).that(meanByAddAllStats).isNaN();
      } else if (values.hasAnyPositiveInfinity() && values.hasAnyNegativeInfinity()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();

  }

  /** constructor with array is of same size and has all elements */
  public void testConstructor2() {
    AtomicDoubleArray aa = new AtomicDoubleArray(VALUES);
    assertEquals(VALUES.length, aa.length());
    for (int i = 0; i < VALUES.length; i++) {
      assertBitEquals(VALUES[i], aa.get(i));
    }
  }

  /** constructor with empty array has size 0 and contains no elements */
  public void testConstructorEmptyArray() {

        return this;
    }

    /**
     * Adds multiple command-line arguments to pass to the Python script.
     *
     * @param values the argument values to add
     * @return this PythonJob instance for method chaining
     */
    public PythonJob args(final String... values) {
        stream(values).of(stream -> stream.forEach(argList::add));
        return this;
    }

    /**
     * Executes the Python script job.

    sort(values, navigableSet.comparator());

    // some tests assume SEVERAL == 3
    if (values.size() >= 1) {
      a = values.get(0);
      if (values.size() >= 3) {
        b = values.get(1);
        c = values.get(2);
      }
    }
  }

  /** Resets the contents of navigableSet to have elements a, c, for the navigation tests. */
  protected void resetWithHole() {

    /**
     * Represents a field facet with its name and value counts.
     * Each field facet contains multiple values with their respective document counts.
     */
    public static class Field {
        /**
         * Map containing field values and their document counts.
         * Keys are field values as strings, values are document counts.
         */
        protected Map<String, Long> valueCountMap = new LinkedHashMap<>();