"exemplar": true,
          "expr": "minio_bucket_replication_proxied_head_requests_failures{job=\"$scrape_jobs\"}",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{instance}}",
          "refId": "A"
        }
      ],
      "title": "Total Failed Proxied Head Requests",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",

            return updateEntity(source, result);
        } catch (InstantiationException | IllegalAccessException e) {
            final String msg = "Cannot create a new instance: " + entityType.getName();
            throw new IllegalBehaviorStateException(msg, e);
        }
    }

    protected <RESULT extends SearchLog> RESULT updateEntity(Map<String, Object> source, RESULT result) {

```

[`HandshakeCertificates`][handshake_certificates] keeps the certificates for a TLS handshake.
Use its [builder][handshake_certificates_builder] to define which certificates the HTTPS server
returns to its clients. The returned instance can create an `SSLSocketFactory` that implements this
policy:

```java
HandshakeCertificates serverCertificates = new HandshakeCertificates.Builder()
    .heldCertificate(localhostCertificate)
    .build();

  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

Ces dernières, lorsqu'elles sont appelées, renvoient des instances de classes du même nom.

Ainsi, vous importez `Query`, qui est une fonction. Et lorsque vous l'appelez, elle renvoie une instance d'une classe également nommée `Query`.

Ces fonctions sont là (au lieu d'utiliser simplement les classes directement) pour que votre éditeur ne marque pas d'erreurs sur leurs types.

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`:

//// tab | Python 3.10+

```Python hl_lines="2  8"
{!> ../../docs_src/body_nested_models/tutorial005_py310.py!}
```

////

//// tab | Python 3.9+

        for (E e : contents) {
          E unused = interner.intern(e);
        }
        return interner;
      }
    };
  }

  public enum Value {
    INSTANCE;
  }

  public enum ListSizeDistribution {
    UNIFORM_0_TO_2(0, 2),
    UNIFORM_0_TO_9(0, 9),
    ALWAYS_0(0, 0),
    ALWAYS_10(10, 10);

    final int min;
    final int max;

specific language governing permissions and limitations
under the License.
-->

<model xmlns="http://modello.codehaus.org/MODELLO/1.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://modello.codehaus.org/MODELLO/1.0.0 http://modello.codehaus.org/xsd/modello-1.0.0.xsd"
  xml.namespace="http://maven.apache.org/PROFILES/${version}"

  virtual AbstractTensorInterface* CreateTensor(
      DataType dtype, absl::Span<const int64_t> dim_sizes) = 0;

  typedef void (*MemoryReleaser)(void* data, size_t len, void* arg);

  // Create a tensor instance from the given data buffer and description.
  // `memory_releaser` will be called on destruction, and it's responsible for
  // cleaning up the underlying buffer.
  virtual AbstractTensorInterface* CreateTensor(

            return updateEntity(source, result);
        } catch (InstantiationException | IllegalAccessException e) {
            final String msg = "Cannot create a new instance: " + entityType.getName();
            throw new IllegalBehaviorStateException(msg, e);
        }
    }

    protected <RESULT extends ClickLog> RESULT updateEntity(Map<String, Object> source, RESULT result) {