crawlerStatsHelper.done(key);
        logger.info(localLogMsg.get());
        String[] values = localLogMsg.get().split("\t");
        assertEquals(3, values.length);
        assertEquals("url:test", values[0]);
        assertTrue(values[1].startsWith("time:"));
        assertTrue(values[2].startsWith("done:"));

        localLogMsg.remove();
        crawlerStatsHelper.done(key);
        assertNull(localLogMsg.get());

// A goroutine will be started and run until the provided context is canceled.
func (r *RingBuffer) WithCancel(ctx context.Context) *RingBuffer {
	go func() {
		select {
		case <-ctx.Done():
			r.CloseWithError(ctx.Err())
		}
	}()
	return r
}

func (r *RingBuffer) setErr(err error, locked bool) error {
	if !locked {
		r.mu.Lock()
		defer r.mu.Unlock()
	}

///

////

/// info

In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

///

MINIO_IDENTITY_LDAP_USER_DN_SEARCH_FILTER*   (string)    Search filter to lookup user DN
```

The search filter must use the LDAP username to find the user DN. This is done via [variable substitution](#variable-substitution-in-configuration-strings).

	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricListVols, "/")
	if err != nil {
		return nil, err
	}
	defer done(0, &err)

	return p.storage.ListVols(ctx)
}

func (p *xlStorageDiskIDCheck) StatVol(ctx context.Context, volume string) (vol VolInfo, err error) {
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricStatVol, volume)
	if err != nil {
		return vol, err
	}
	defer done(0, &err)

  // +optional
  optional string path = 1;

  // pathType determines the interpretation of the path matching. PathType can
  // be one of the following values:
  // * Exact: Matches the URL path exactly.
  // * Prefix: Matches based on a URL path prefix split by '/'. Matching is
  //   done on a path element by element basis. A path element refers is the
  //   list of labels in the path split by the '/' separator. A request is a

        assertFalse(cos.done);
        assertTrue(cos.isInMemory());
        cos.close();
        assertFalse(cos.done);
    }

    @Test
    public void inFile() throws IOException {
        ContentOutputStream cos = new ContentOutputStream(10, Curl.tmpDir);
        cos.write(new byte[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 });
        assertFalse(cos.done);
        assertFalse(cos.isInMemory());

    } else if (type instanceof WildcardType) {
      return resolveWildcardType((WildcardType) type);
    } else {
      // if Class<?>, no resolution needed, we are done.
      return type;
    }
  }

  Type[] resolveTypesInPlace(Type[] types) {
    for (int i = 0; i < types.length; i++) {
      types[i] = resolveType(types[i]);
    }
    return types;
  }

			go func(i int, set *erasureObjects) {
				defer wg.Done()
				err := set.listPath(listCtx, o, innerResults)
				mu.Lock()
				defer mu.Unlock()
				if err == nil {
					allAtEOF = false
				}
				errs[i] = err
			}(len(errs), set)
			errs = append(errs, nil)
		}
	}
	mu.Unlock()

	// Gather results to a single channel.
	// Quorum is one since we are merging across sets.

  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job