`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute

        .connectionPool(ConnectionPool(connectionListener = connectionListener))
    }

  private fun loomThreadFactory(): ThreadFactory {
    val ofVirtual = Thread::class.java.getMethod("ofVirtual").invoke(null)

    return Class
      .forName("java.lang.Thread\$Builder")
      .getMethod("factory")
      .invoke(ofVirtual) as ThreadFactory
  }

# Start writeback at 3% memory
vm.dirty_background_ratio=3
# Force writeback at 10% memory
vm.dirty_ratio=10

# Quite a few memory map
# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

# network tuning for bigger throughput
net.core.netdev_max_backlog=250000
net.core.somaxconn=16384

type ResyncDecision struct {
	targets map[string]ResyncTargetDecision
}

// Empty returns true if no targets with resync decision present
func (r ResyncDecision) Empty() bool {
	return r.targets == nil
}

func (r ResyncDecision) mustResync() bool {
	for _, v := range r.targets {
		if v.Replicate {
			return true
		}
	}
	return false
}

    @Nonnull
    Optional<Boolean> alsoMakeDependents();

    /**
     * Returns the number of threads used for parallel builds.
     *
     * @return an {@link Optional} containing the number of threads (or "1C" for one thread per CPU core), or empty if not specified
     */
    @Nonnull
    Optional<String> threads();

    /**
     * Returns the id of the build strategy to use.
     *

## Importar `Form`

Importar `Form` desde `fastapi`:

{* ../../docs_src/request_forms/tutorial001_an_py39.py hl[3] *}

## Definir parámetros de `Form`

Crea parámetros de formulario de la misma manera que lo harías para `Body` o `Query`:

{* ../../docs_src/request_forms/tutorial001_an_py39.py hl[9] *}

* Luego devuelve la **response**.

/// note | Detalles Técnicos

Si tienes dependencias con `yield`, el código de salida se ejecutará *después* del middleware.

Si hubiera alguna tarea en segundo plano (documentada más adelante), se ejecutará *después* de todo el middleware.

///

## Crear un middleware

Para crear un middleware usas el decorador `@app.middleware("http")` encima de una función.

          "values": false
        },
        "showPercentChange": false,
        "text": {},
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "10.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,

  bearer_token: <secret>
  metrics_path: /minio/v2/metrics/cluster
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Bucket centric

```yaml
- job_name: minio-job-bucket
  bearer_token: <secret>
  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node centric (optional)

```yaml
- job_name: minio-job-node

		if _, ok := err.(*event.ErrARNNotFound); !ok {
			internalLogIf(GlobalContext, err)
		}
	}
	evnot.AddRulesMap(bucket, config.ToRulesMap())
}

// Targets returns all the registered targets
func (evnot *EventNotifier) Targets() []event.Target {
	return evnot.targetList.Targets()
}

// InitBucketTargets - initializes event notification system from notification.xml of all buckets.