@ElementTypesAreNonnullByDefault
public interface TearDownAccepter {
  /**
   * Registers a TearDown implementor which will be run after the test proper.
   *
   * <p>In JUnit4 language, that means as an {@code @After}.
   *
   * <p>In JUnit3 language, that means during the {@link junit.framework.TestCase#tearDown()} step.
   */
  void addTearDown(TearDown tearDown);

    int INCLUDE_ARTIFACT = 4;

    int OMIT_FOR_NEARER = 5;

    int UPDATE_SCOPE = 6;

    @Deprecated
    int MANAGE_ARTIFACT = 7;

    int OMIT_FOR_CYCLE = 8;

    /**
     * this event means that the artifactScope has NOT been updated to a farther node artifactScope because current
     * node is in the first level pom
     */
    int UPDATE_SCOPE_CURRENT_POM = 9;

    int SELECT_VERSION_FROM_RANGE = 10;

    /**
     * This default mode for combining a DOM node during merge means that where element names match, the process will
     * try to merge the element attributes and values, rather than overriding the recessive element completely with the
     * dominant one. This means that wherever the dominant element doesn't provide the value or a particular attribute,

       * - if we return immediately from `execute` (in which case we never get here)
       *
       * - in the "reentrant submit" case of `execute` (in which case we must have started running a
       *   user task -- which means that we already got past this code (or else we exited early
       *   above))
       */
      // Unconditionally set; there is no risk of throwing away a queued task from another thread,

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        #  And ReplaceSchema task basically ignores this.
        #
        #  Normally this 'except' means no getting meta data for excepted tables.
        #  (so the tables are not existing in SchemaHTML and HistoryHTML and so on).
        #  But you can specify the '@gen' suffix that means generate-only except.
        #  A table with the mark can be treated as documents but no generating classes.
        #

        accumulatorByAddAllStats.addAll(Stats.of(value));
      }
      double mean = accumulator.mean();
      double meanByAddAllStats = accumulatorByAddAllStats.mean();
      if (values.hasAnyNaN()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of " + values).that(meanByAddAllStats).isNaN();

        mean += (value - mean) / (index + 1);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
      }
    }
    return mean;
  }

  /**
   * Returns the <a href="http://en.wikipedia.org/wiki/Arithmetic_mean">arithmetic mean</a> of the
   * values. The count must be non-zero.
   *
   * <p>The definition of the mean is the same as {@link Stats#mean}.
   *

      }
    } else {
      count++;
      if (isFinite(value) && isFinite(mean)) {
        // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15) and (16)
        double delta = value - mean;
        mean += delta / count;
        sumOfSquaresOfDeltas += delta * (value - mean);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
        sumOfSquaresOfDeltas = NaN;
      }
      min = Math.min(min, value);

        accumulatorByAddAllStats.addAll(Stats.of(value));
      }
      double mean = accumulator.mean();
      double meanByAddAllStats = accumulatorByAddAllStats.mean();
      if (values.hasAnyNaN()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();
        assertWithMessage("mean by addAll(Stats) of " + values).that(meanByAddAllStats).isNaN();