To see all the options you have, checkout <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic's Type Overview</a>. You will see some examples in the next chapter.

For example, as in the `Image` model we have a `url` field, we can declare it to be an instance of Pydantic's `HttpUrl` instead of a `str`:

{* ../../docs_src/body_nested_models/tutorial005_py310.py hl[2,8] *}

		select {
		case <-ctx.Done():
			return
		case <-monitor.C:
			if serverDebugLog {
				console.Debugln("running drive monitoring")
			}

			s.connectDisks(true)

			// Reset the timer for next interval
			monitor.Reset(monitorInterval)
		}
	}
}

func (s *erasureSets) GetLockers(setIndex int) func() ([]dsync.NetLocker, string) {
	return func() ([]dsync.NetLocker, string) {

            byte[] buf = new byte[16];

            // Skip advances internal file pointer; next read should use this offset
            in.skip(2);

            // Act
            int n = in.readDirect(buf, 0, 5);

            // Assert

    void testGetNextResponse() {
        // When
        CommonServerMessageBlockResponse nextResponse = response.getNextResponse();

        // Then - should return null as no next response is set
        assertEquals(null, nextResponse);
    }

    @Test
    @DisplayName("Should handle prepare method correctly")
    void testPrepareMethod() {
        // Given

   */
  protected @Nullable V standardRemove(@Nullable Object key) {
    Iterator<Entry<K, V>> entryIterator = entrySet().iterator();
    while (entryIterator.hasNext()) {
      Entry<K, V> entry = entryIterator.next();
      if (Objects.equals(entry.getKey(), key)) {
        V value = entry.getValue();
        entryIterator.remove();
        return value;
      }
    }
    return null;
  }

  /**

pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm, we also make sure that we spread the drives out evenly. MinIO server expands ellipses passed as arguments. Here is a sample expansion to demonstrate the process....

    void testGetService() {
        // When
        String service = response.getService();

        // Then
        assertNull(service);
    }

    @Test
    @DisplayName("Should prepare next request correctly when received")
    void testPrepareWhenReceived() throws Exception {
        // Given
        ServerMessageBlock2Request mockNext = mock(ServerMessageBlock2Request.class);

func (l *ReplicationLastHour) forwardTo(t int64) {
	if l.LastMin >= t {
		return
	}
	if t-l.LastMin >= 60 {
		l.Totals = [60]AccElem{}
		return
	}
	for l.LastMin != t {
		// Clear next element.
		idx := (l.LastMin + 1) % 60
		l.Totals[idx] = AccElem{}
		l.LastMin++
	}
}

// BucketStatsMap captures bucket statistics for all buckets
type BucketStatsMap struct {

But I'll show you how to improve that next. 🤓

## Custom Operation IDs and Better Method Names { #custom-operation-ids-and-better-method-names }

  }

  private static final DiscreteDomain<Integer> UNBOUNDED_DOMAIN =
      new DiscreteDomain<Integer>() {
        @Override
        public Integer next(Integer value) {
          return integers().next(value);
        }

        @Override
        public Integer previous(Integer value) {
          return integers().previous(value);
        }

        @Override