`/<user-running-minio>/.minio/certs`.

*Tip*: In a standard Kubernetes configuration, this will be `/root/.minio/certs`. Kubernetes will mount the secrets volume read-only,

    }
    if (right == null) {
      return LEFT_IS_GREATER;
    }
    return ordering.compare(left, right);
  }

  @Override
  @SuppressWarnings("nullness") // should be safe, but not sure if we can avoid the warning
  public <S extends @Nullable T> Ordering<S> reverse() {
    // ordering.reverse() might be optimized, so let it do its thing
    return ordering.<T>reverse().<@NonNull S>nullsLast();
  }

		return nil, nil, errInvalidArgument
	}

	// prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks.
	// All times are rounded to avoid showing milli, micro and nano seconds
	formatStartTime := time.Now().Round(time.Second)
	getElapsedTime := func() string {
		return time.Now().Round(time.Second).Sub(formatStartTime).String()
	}

	var (

	_, err := objAPI.DeleteObject(ctx, minioMetaBucket, configFile, ObjectOptions{
		DeletePrefix:       true,
		DeletePrefixObject: true, // use prefix delete on exact object (this is an optimization to avoid fan-out calls)
	})
	if err != nil && isErrObjectNotFound(err) {
		return errConfigNotFound
	}
	return err
}

The main logic with ADRs is to describe (architectural) decisions made:

* To provide best practices and solutions we (as the *build tool* team) want to promote.
* To avoid asking the same thing multiple times during code review.
* To explain *rejected solutions*, for now, and future development, in case they are proposed again.

ADRs can be written by any team.

    assertFalse(service.startUpCalled);

    service.startAsync().awaitRunning();
    assertTrue(service.startUpCalled);
    assertEquals(Service.State.RUNNING, service.state());

    enterRun.await(); // to avoid stopping the service until run() is invoked

    service.stopAsync().awaitTerminated();
    assertTrue(service.shutDownCalled);
    assertEquals(Service.State.TERMINATED, service.state());
    executionThread.join();
  }

			<-ctx.Done()
			return
		}
		duration := time.Duration(r.Float64() * float64(time.Second*10))
		if duration < time.Second {
			// Make sure to sleep at least a second to avoid high CPU ticks.
			duration = time.Second
		}
		time.Sleep(duration)
	}
}

// load resync metrics saved on disk into memory
func (sm *siteResyncMetrics) load(ctx context.Context, objAPI ObjectLayer) error {

Il prend comme valeur un `dict` dont les clés sont des codes HTTP pour chaque réponse, comme `200`, et la valeur de ces clés sont d'autres `dict` avec des informations pour chacun d'eux.

Chacun de ces `dict` de réponse peut avoir une clé `model`, contenant un modèle Pydantic, tout comme `response_model`.

**FastAPI** prendra ce modèle, générera son schéma JSON et l'inclura au bon endroit dans OpenAPI.

        if (systemProperties != null) {
            this.systemProperties = new Properties();
            synchronized (systemProperties) { // avoid concurrent modification if someone else sets/removes an unrelated
                // system property
                this.systemProperties.putAll(systemProperties);
            }
        } else {

    loggingInterceptor.setLevel(HttpLoggingInterceptor.Level.BASIC);
    client.networkInterceptors().add(loggingInterceptor);
    ```

    **Warning:** Avoid `Level.HEADERS` and `Level.BODY` in production because
    they could leak passwords and other authentication credentials to insecure
    logs.

 *  **WebSocket API now uses `RequestBody` and `ResponseBody` for messages.**