}
		case "salary":
			if precision, o, _ := columnType.DecimalSize(); (fullSupported || precision != 0) && precision != 2 {
				t.Fatalf("salary's precision should be 2, but got %v %v", precision, o)
			}
		case "birthday":
			if precision, _, _ := columnType.DecimalSize(); (fullSupported || precision != 0) && precision != 2 {
				t.Fatalf("birthday's precision should be 2, but got %v", precision)
			}
		}
	}

  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public static Stats of(Iterable<? extends Number> values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

	}

	if num, ok := field.TagSettings["SIZE"]; ok {
		if field.Size, err = strconv.Atoi(num); err != nil {
			field.Size = -1
		}
	}

	if p, ok := field.TagSettings["PRECISION"]; ok {
		field.Precision, _ = strconv.Atoi(p)
	}

	if s, ok := field.TagSettings["SCALE"]; ok {
		field.Scale, _ = strconv.Atoi(s)
	}

	// default value is function or null or blank (primary keys)

        byte[] buffer = new byte[8];

        for (long time : testTimes) {
            SMBUtil.writeTime(time, buffer, 0);
            long readTime = SMBUtil.readTime(buffer, 0);

            // Account for precision loss in conversion
            long expectedTime = ((time + SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601) * 10000L) / 10000L
                    - SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601;

        data[7] = (byte) (high >> 24);

        PacDataInputStream pdis = createInputStream(data);
        Date date = pdis.readFiletime();
        assertNotNull(date);
        // Allow for a small difference due to precision loss
        assertEquals(time / 1000, date.getTime() / 1000);

        // Test with null date (0x7fffffff ffffffff)

			tests.AssertObjEqual(t, parsedField, f, "Name", "DBName", "BindNames", "DataType", "PrimaryKey", "AutoIncrement", "Creatable", "Updatable", "Readable", "HasDefaultValue", "DefaultValue", "NotNull", "Unique", "Comment", "Size", "Precision", "TagSettings")

			if f.DBName != "" {
				if field, ok := s.FieldsByDBName[f.DBName]; !ok || parsedField != field {
					t.Errorf("schema %v failed to look up field with dbname %v", s, f.DBName)
				}
			}

        // Verify time was read correctly (accounting for UTime conversion)
        long readTime = (Long) getFieldValue(response, "lastWriteTime");
        // UTime is seconds since 1970, so we need to compare at second precision
        assertEquals(lastWriteTime / 1000, readTime / 1000);
    }

    @Test
    void testReadParameterWordsWireFormatWithZeroWordCount() {
        // Test reading when wordCount is 0

        byte[] buffer = new byte[8];
        long time = System.currentTimeMillis();
        ServerMessageBlock.writeTime(time, buffer, 0);
        long readTime = ServerMessageBlock.readTime(buffer, 0);
        // Precision may be lost, so check within a second
        assertTrue(Math.abs(time - readTime) < 1000);
    }

    @Test
    void testTimeReadWriteZero() {
        byte[] buffer = new byte[8];

	return false
}

// returns true if object was modified after givenTime.
func ifModifiedSince(objTime time.Time, givenTime time.Time) bool {
	// The Date-Modified header truncates sub-second precision, so
	// use mtime < t+1s instead of mtime <= t to check for unmodified.
	return !objTime.Before(givenTime.Add(1 * time.Second))
}

// canonicalizeETag returns ETag with leading and trailing double-quotes removed,

     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *
     * We start out with a double-precision approximation, which may be higher or lower than the
     * true value. Therefore, we perform at least one Newton iteration to get a guess that's