return
}

// Group specify the group method on the find
//
//	// Select the sum age of users with given names
//	db.Model(&User{}).Select("name, sum(age) as total").Group("name").Find(&results)
func (db *DB) Group(name string) (tx *DB) {
	tx = db.getInstance()

	fields := strings.FieldsFunc(name, utils.IsInvalidDBNameChar)
	tx.Statement.AddClause(clause.GroupBy{

        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount())
                        .status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific web configuration setting by ID.
     *

        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount())
                        .status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific data config setting by ID.
     *

		}
	}
	if len(m.LifeTimeOps) == 0 {
		m.LifeTimeOps = nil
	}

	m.LastMinute.Operations = make(map[string]madmin.TimedAction, osMetricLast)
	for i := range osMetricLast {
		lm := o.latency[i].total()
		if lm.N > 0 {
			m.LastMinute.Operations[i.String()] = lm.asTimedAction()
		}
	}
	if len(m.LastMinute.Operations) == 0 {
		m.LastMinute.Operations = nil
	}

	return m

    assertThat(inputStream!!.read()).isEqualTo('B'.code)
  }

  /**
   * Throttle the request body by sleeping 500ms after every 3 bytes. With a 6-byte request, this
   * should yield one sleep for a total delay of 500ms.
   */
  @Test
  fun throttleRequest() {
    assumeNotWindows()
    server.enqueue(
      MockResponse
        .Builder()
        .throttleBody(3, 500, TimeUnit.MILLISECONDS)

   *
   * @param arrays zero or more {@code char} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static char[] concat(char[]... arrays) {
    long length = 0;
    for (char[] array : arrays) {

   * c}}.
   *
   * @param arrays zero or more {@code short} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static short[] concat(short[]... arrays) {
    long length = 0;
    for (short[] array : arrays) {

   * c}}.
   *
   * @param arrays zero or more {@code short} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */
  public static short[] concat(short[]... arrays) {
    long length = 0;
    for (short[] array : arrays) {

        }

        Map<EventType, Long> stats = logger.getStatistics();
        assertEquals(Long.valueOf(threadCount * eventsPerThread), stats.get(EventType.AUTHENTICATION_SUCCESS),
                "Should have correct total number of events");
    }

   */
  public double expectedFpp() {
    return Math.pow((double) bits.bitCount() / bitSize(), numHashFunctions);
  }

  /**
   * Returns an estimate for the total number of distinct elements that have been added to this
   * Bloom filter. This approximation is reasonably accurate if it does not exceed the value of
   * {@code expectedInsertions} that was used when constructing the filter.