tx.Statement.Joins = append(tx.Statement.Joins, join{Name: query, Conds: args, JoinType: joinType})
	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)

    cache.put(20, 22);
    cache.put(5, 10);

    fakeTicker.advance(501, MILLISECONDS);

    int sum = 0;
    for (Entry<Integer, Integer> current : cache.asMap().entrySet()) {
      sum += current.getKey() + current.getValue();
    }
    assertThat(sum).isEqualTo(57);
  }

  @Test
  public void asMapValues_iteratorRemove() {
    Cache<Integer, Integer> cache =

      expectAddFailure(multiset, entry);
    }
  }

  private static int totalSize(Iterable<? extends Entry<?>> entries) {
    int sum = 0;
    for (Entry<?> entry : entries) {
      sum += entry.getCount();
    }
    return sum;
  }

  private enum SubMultisetSpec {
    TAIL_CLOSED {
      @Override
      <E> List<Entry<E>> expectedEntries(int targetEntry, List<Entry<E>> entries) {

    return getAndAccumulate(i, delta, Double::sum);
  }

  /**
   * Atomically adds the given value to the element at index {@code i}.
   *
   * @param i the index
   * @param delta the value to add
   * @return the updated value
   */
  @CanIgnoreReturnValue
  public double addAndGet(int i, double delta) {
    return accumulateAndGet(i, delta, Double::sum);
  }

  /**

	if ns.IdentifierMaxLength == 0 {
		ns.IdentifierMaxLength = 64
	}

	if utf8.RuneCountInString(formattedName) > ns.IdentifierMaxLength {
		h := sha1.New()
		h.Write([]byte(formattedName))
		bs := h.Sum(nil)

		formattedName = formattedName[0:ns.IdentifierMaxLength-8] + hex.EncodeToString(bs)[:8]
	}
	return formattedName
}

var (
	// https://github.com/golang/lint/blob/master/lint.go#L770

        }
        sum -= segments[i].modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  @Override
  public int size() {
    Segment<K, V, E, S>[] segments = this.segments;
    long sum = 0;
    for (int i = 0; i < segments.length; ++i) {
      sum += segments[i].count;
    }
    return Ints.saturatedCast(sum);
  }

  @Override

        }

        // Calculate moving average (simple approach)
        if (!responseTimeHistory.isEmpty()) {
            long sum = responseTimeHistory.stream().mapToLong(Long::longValue).sum();
            avgResponseTime.set(sum / responseTimeHistory.size());

            // Calculate 95th percentile

   * undefined which (if any) of these modifications will be reflected in the result.
   */
  @Override
  public int size() {
    long sum = 0L;
    for (AtomicInteger value : countMap.values()) {
      sum += value.get();
    }
    return Ints.saturatedCast(sum);
  }

  /*
   * We override the toArray methods for two reasons:
   *

  // methods of this class.
  private long count = 0;
  private double mean = 0.0; // any finite value will do, we only use it to multiply by zero for sum
  private double sumOfSquaresOfDeltas = 0.0;
  private double min = NaN; // any value will do
  private double max = NaN; // any value will do

  /** Adds the given value to the dataset. */
  public void add(double value) {

        assertNotNull(merged);
        assertEquals("item1", merged.getText());
        assertEquals(150L, merged.getQueryFreq()); // Sum of frequencies
        assertEquals(75L, merged.getDocFreq()); // Sum of frequencies
        assertEquals(1.5f, merged.getUserBoost(), 0.001f); // Takes item2's boost

        // Check merged arrays contain both items' values